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Artificial Solutions named a Leader in ISG Provider Lens™ Intelligent Automation – Solutions and Services Report for the US.
source
https://www.artificial-solutions.com/conversational-ai-reports/isg-intelligent-automation-report-us
ISG, the leading global technology research and advisory firm, has valued our Teneo platform as one of the market leaders in the US. To download the report, please fill in the form on the right and reach out to us if you would like to try Teneo for Free.
Conversational AI in the U.S. Market
North America, and the U.S., in particular, are leading in terms of adoption of enterprise intelligent virtual agents and conversational AI technology, in general. Multiple independent studies have shown that people in the U.S. are comfortable with interacting with a bot instead of a human, which explains the growing interest in interacting with a virtual agent for quick resolution of issues.
In addition, with the developments in conversational AI solutions, there is specific focus on how and when calls can be transferred to a human agent. The number of generic queries that can be answered by an intelligent conversation solution has increased, and includes resolving a problem, getting detailed answers, finding a human assistant, making a reservation or paying an invoice.
As conversational AI solutions learn to better discern user intent, clients are experimenting to implement them in additional use cases. Banking and financial institutes and enterprises are leading in terms of implementing conversational AI solutions, and users prefer to leverage such solutions for common issues. As the level of confidence in dealing with conversational AI solutions increases and vendors improve on their solutions, the market is expected to see a boom in the near future.
According to the report, Artificial Solutions has a highly attractive product and service offering and a very strong market and competitive position inside the Conversational AI market. Artificial Solutions fulfills all requirements for successful market cultivation while ensuring innovative strength and stability.
Artificial Solutions named a Leader in ISG Provider Lens™ Intelligent Automation – Solutions and Services Report for Germany.
source
https://www.artificial-solutions.com/conversational-ai-reports/isg-intelligent-automation-report-germany
ISG, the leading global technology research and advisory firm, has valued our Teneo platform as one of leaders in the German market. To download the report, please fill in the form on the right and reach out to us if you would like to try Teneo for Free.
Conversational AI in the German Market
Multiple independent studies have shown that people are comfortable with interacting with a bot instead of a human, which explains the growing interest in interacting with a virtual agent for quick resolution of issues.
In addition, with the developments in conversational AI solutions, there is specific focus on how and when calls can be transferred to a human agent. The number of generic queries that can be answered by an intelligent conversation solution has increased, and includes resolving a problem, getting detailed answers, finding a human assistant, making a reservation or paying an invoice.
As conversational AI solutions learn to better discern user intent, clients are experimenting to implement them in additional use cases. Banking and financial institutes and enterprises are leading in terms of implementing conversational AI solutions, and users prefer to leverage such solutions for common issues. As the level of confidence in dealing with conversational AI solutions increases and vendors improve on their solutions, the market is expected to see a boom in the near future.
According to the report, Artificial Solutions has a highly attractive product and service offering and a very strong market and competitive position inside the Conversational AI market. Artificial Solutions fulfills all requirements for successful market cultivation while ensuring innovative strength and stability.
Try Teneo for free
https://developers.artificial-solutions.com/?utm_source=as-website&utm_medium=white-paper&utm_campaign=conversational-ai-telecoms
Discover
https://www.artificial-solutions.com/ms-luis-teneo
But what are the biggest obstacles for achieving productivity within Conversational AI?
source
https://www.artificial-solutions.com/blog/the-biggest-barriers-to-achieving-productivity-within-conversational-ai
November 15, 2021
According to Gartner, the main challenges in achieving successful Conversational AI implementations
https://www.gartner.com/en/documents/3995314
revolve around:
integrations, ongoing AI model training and language expansion, unrealistic expectations, and solution deployment.
Let’s break these down into categories and explore further.
1. Integrations with enterprise systems and data sources are one of the most common challenges that organizations face to achieve business value. The sophistication of solutions can vary significantly depending on the domain and the use case, and some factors add complexity to these solutions are frontend and backend integrations, omnichannel support, data analytics and BI integrations, among others.
Backend connectors are a clear way to support easy integration that save valuable time and resources. With this in mind, Gartner recently ranked Artificial Solutions as a Tech Innovator in CAI because their “enterprise conversational AI platform, Teneo, uses Teneo connectors to support easy integration with any back-office technology and enterprise applications, including SAP, Salesforce, support systems and RPA platforms, such as Blue Prism and UiPath.
Gartner
https://www.gartner.com/en/documents/4003274-emerging-technologies-top-business-value-patterns-in-advanced-virtual-assistant-adoption
highlights that “this is a practical innovation that will reduce time to value around conversational agent investments for organizations. “As of today, Teneo offers over 35 pre-built frontend and backend connectors. In addition to this, Teneo, with its Java-based platform and the integrated developers’ sandbox for advanced coding (the Integration Manager), has no restrictions whatsoever on external integrations.
2. Low scalability – organizations operating across multiple regions face a challenge in providing conversational experiences with new functionality, such as an added language. This means that you may need to start from scratch every time ongoing AI model training and language expansion is required.
Going from an interaction with simple questions and answers to complex and contextual goal-driven conversations requires additional training data and dialogue design, which?overlaps?and supersedes?the simple implementation.
Furthermore, as per Gartner, “in organizations operating across multiple geographies, handling multilingual queries can still be a difficult issue.” And this is precisely where Teneo excels, with proven, complex global multilingual rollouts around the world. Teneo’s Localization capabilities
https://documentation.artificial-solutions.com/latest/#/knowledge-base/solution/localization-setup
(which are explored in detail in this Webinar)
https://www.brighttalk.com/webcast/17594/495696
allow enterprises to handle multilingual implementations easily. With Teneo it is possible to have an original implementation in one language (in any of the 86 languages currently supported by the platform)
https://developers.artificial-solutions.com/technology/languages
and be able to launch another solution in a different language, typically reusing about 80% of the original components, with no need to start from scratch.
In Gartner’s own words:
”Teneo Master/Local Multilingual implementations … enable rapid rollout and scaling of multilingual solutions, as well as efficiency of maintenance and consistent quality experience for users.”
3. It simply takes too long. “While a case can be made for each, we contend that implementation lags are probably the biggest contributor to the paradox,” Brynjolfsson, Rock and Syverson state in their aforementioned paper. Quick implementations for advanced VAs and CAI projects are a well-known issue. There’s not only selecting the right expertise, training internal employees and developers, but also dealing with architectural and deployment challenges. And yet, here we have Swisscom
https://vux.world/scaling-conversational-ai-with-roger-dill-swisscom-and-per-ottosson-artificial-solutions/
and Circle K
https://www.brighttalk.com/webcast/17594/420958
overtly attesting to Teneo’s versatility, modularity and immense adaptability, supporting complex architectures, integrating with different backend systems and data sources, leveraging deep learning models for Natural Language Understanding purposes, helping customers through voice in several languages (can you imagine the challenges integrating with 5 different STT models and TTS languages?) and across different channels… All in record-time implementations for both enterprises. Simply put: “with Teneo, you can.”
The AI and productivity paradox may not be solved soon, but you can choose the right tools to help Conversational AI
https://developers.artificial-solutions.com/studio/getting-started
bloom. Our main recommendation is: Be wise, choose wisely. The success of your CAI project starts with selecting the right platform. You find extremely valuable insights on how to do that in this blogpost
https://dzone.com/articles/four-perspectives-when-selecting-a-conversational-ai-platform
by Artificial Solutions.
Furthermore, our dedicated forum can help you understand everything you need to know about our industry-leading CAI product, Teneo.
Learn more, here.
https://developers.artificial-solutions.com/
Artificial Solutions receives award for Leadership position in Conversational AI.
source
https://www.artificial-solutions.com/blog/artificial-solutions-receives-award-for-leadership-position-in-conversational-ai
November 16, 2021
Artificial Solutions® (SSME: ASAI), the leading technology provider in enterprise Conversational AI and a selected vendor in conversational AI by the Volkswagen group, was named last week as a ‘Leader in Conversational AI’ for the German market. The award was given by ISG,
https://isg-one.com/
a market-leading technology research and advisory firm.
Learn more about the award-winning project in our dedicated case study, available here.
https://www.artificial-solutions.com/conversational-ai-reports/isg-intelligent-automation-report-germany
[b[color=green]]Artificial Solutions’ Conversational AI development platform, Teneo, allows developers to increase their productivity, cut deployment time by 50% and ensure scalability of their conversational solutions. Teneo’s advanced hybrid linguistic approach and the large volume of languages and dialects supported (86), are key differentiators in the market.[/color]
Analysists from ISG said:
“Artificial Solutions’ hybrid approach to map linguistic and ML capabilities in the business context helps identify customer intent with high accuracy and is a key differentiator.”
Teneo focuses on applicability in enterprise context, not just by leveraging machine learning (ML) or linguistic approach alone, but rather by taking a hybrid approach that provides meaningful context for regular linguistic actions. Furthermore, the platform also enables enterprises to connect back-end processes, channels, and systems for meaningful interactions.
Nicolas Köllerstedt, CRO of Artificial Solutions, commented: “We feel honored to be recognized as leaders and industry innovators in this region; Germany is a key market for us, and we look forward to helping our customers create value and improve their productivity.”
Artificial Solutions has an open modular approach to cater for the different needs of developers. Earlier this year, Artificial Solutions announced the availability of Teneo within the Azure marketplace, which enables the Microsoft customer base to integrate conversational AI solutions within their enterprise. With LUIS^Teneo, a free SaaS-based development suite and bot engine using Microsoft LUIS, developers can rapidly build a prototype and then scale these solutions for high volumes, across multiple channels and languages.
For detailed information on Artificial Solutions’ performance in Conversational AI in the 2020 ISG Provider Lens™ Intelligent Automation – Solutions and Services report for Germany,
download the full report here.
https://www.artificial-solutions.com/conversational-ai-reports/isg-intelligent-automation-report-germany
How can AI and automation address the risk of inequalities and be used correctly?
source
https://www.artificial-solutions.com/blog/automation-ai-addressing-inequality
November 9, 2021
Over the past 18 months, COVID-19 has drastically impacted the speed at which businesses have incorporated automation into their digital transformation strategies, however, the trend to automate had been already gathered significant pace before the onset of the pandemic. One of the most popular digital initiatives, within the scope of automation, is leveraging advanced Conversational AI (CAI)
https://www.artificial-solutions.com/conversational-ai
interfaces that allow enterprises to deliver personalized interactions while simultaneously combining the operational efficiency of end-to-end automation.
We know what this means – better access to services; the ability to engage with customers in a natural and human-like way, at any time and in the channel of their choice; and the opportunity to engage with Conversational AI and speech technologies that respond to human language with the high convenience that automation provides.
However, care must be taken to ensure that the experiences automation provides are delivered ethically and without bias. The potential for automation to drive inequality affects different areas of Artificial Intelligence (AI), including Conversational AI. CAI uses natural language to facilitate communication between humans and machines. CAI has a vast number of real-world applications, from intelligent assistants to voice-controlled homes, in-car experiences, and automated drive-thru systems.
Despite the recent advances in the space, the ability to communicate naturally (understand context, share a common ground with our interlocutors, ask for clarifications, exert common sense, etc.) is one that automated systems have not yet mastered: dialog systems are still not fully automated. Sure, new pre-trained transformer models like OpenAi’s GPT-3 may be able to power very natural small-talk conversations, but can they troubleshoot issues with your Internet connection in a fully automated fashion, end-to-end? And even if they could: would corporations entrust their brand reputation to pure AI-driven systems?
Who could have guessed that Tay, Microsoft’s unsupervised Twitter bot,
https://www.bbc.com/news/technology-35890188
would develop an extremely offensive personality after only 16 hours of exposure to real Tweets?
But that was 2016 – raising awareness about this problem, as well as developing plans and programs around inclusion in AI, are major touchpoints within the CAI life cycle today.
It is through dedicated programs and informed decisions that it is possible for our users to feel included. This is why, for example, Apple’s Siri no longer defaults to a female voice.
https://techcrunch.com/2021/03/31/apple-adds-two-siri-voices/?guccounter=1
In fact, Apple’s decision to give Siri users the option to choose their preferred gender at set-up time is a great example of an informed decision against preconceived stereotypes.
The renowned novelist Nathaniel Hawthorne once said: “Words (…) how potent for good and evil they become.” The truth is, as natural as language feels to all of us, because it is inherently human, it carries our biases too. And, unfortunately, this is also true for conversational and speech technologies.
Whether the bias originates in the data that is fed into the automated processes behind our conversational applications, or in the humans who created them (the designers, the developers and the project team in general), paying attention to these biases themselves, having a strategy around them, is the key to preventing their permeation into the products that we create.
As far as CAI development goes, humans are still instrumental. Designers, developers and copywriters all influence their systems’ voices. Because of this, it is crucial that creators get access to the tools and resources that will help them build their applications in an inclusive manner.
This can be done by allowing developers to take control over areas at high risk of inequality, which may surface in human-machine conversations, like the approval of training data, or leveraging resources for offensive language detection.
It is through actions like these that designers and developers can prevent systems from becoming biased, as well as create dedicated conversational strategies that will allow them to respond to racist remarks, violent comments or sexist implications that may be coming from users.
As a matter of fact, when it comes to CAI and speech technologies, purposedly curating the training and learning processes increases the chances that our conversational systems will become more inclusive and diverse. Unsupervised automation will be inevitably skewed by the patterns and trends seen in the data.
For instance, a voice interface may have trouble understanding a specific accent if this is underrepresented in the data that was used to train the voice recognizer. So, it is ultimately the data that needs to be representative of the diversity we expect to find among our end audience, our users. But it is also the developers’ ethical obligation to research their users’ characteristics and make amendments to the system based on their reactions to the product, something that is usually achieved through user testing (or human factors testing).
In this regard, research and human factors testing both lead the path towards inclusion. Biases are inherently invisible to those who bear them, so external, diverse and representative voices need to be present before, during and after the development process, so that we can ensure our systems will carry respect, diversity and inclusion forward.
In sum, let’s make sure our teams are informed, aware of biases in the data, in their designs, in their implementations; and trained to prevent them because it is ultimately this awareness that paves the road to true diversity, inclusion and equality in AI.
Here’s our commitment to making CIA and the wider industry more inclusive: Artificial Solutions implements Gavriella Schuster’s #BeCOME framework to expand work on inclusion and gender equality.
Artificial Solutions implements Gavriella Schuster’s #BeCOME framework to expand work on inclusion and gender equality.
source
https://www.artificial-solutions.com/blog/artificial-solutions-implements-gavriella-schusters-become-framework-to-expand-work-on-inclusion-and-gender-equality
November 3, 2021
Gavriella Schuster – former Corporate VP of Microsoft in charge of its global portfolio of channel partners – also Chairman of Artificial Solutions’ Advisory Board.
Artificial Solutions® (SSME: ASAI) announces today a partnership with Gavriella Schuster to #BeCOME #ALLIES, to accelerate its work on inclusion and gender equality. Artificial Solutions is committed to diversity and equality and has managed to achieve a ratio of 38% women in senior positions. As we continue to grow as a business, we promise to continue to push for diversity at all levels, across departments and functions, by valuing equality, diversity, and integrity.
“I am very pleased to welcome Gavriella Schuster to our advisory board and I look forward to be able to leverage her expertise”, says Artificial Solutions CEO Per Ottosson. “Parallel to our new business and delivery models through cloud and SaaS and our aggressive market expansion, with the help of Gavriella we will work with partners and clients on a global scale to help make our industry more inclusive and gender neutral.”
Beyond her more than 25 years of driving exceptional growth and revenues as Microsoft’s CVP of Channel Business, invested in progressing gender equality across the international technology sector. She is co-founder of Women in Cloud and Women in Technology Network, and widely recognized as a champion of gender equality as well as gender equity.
She has also developed a striking and efficient framework for injecting movements of equity through the: #BeCOME campaign. Artificial Solutions will partner with Gavriella Schuster and apply the ALLIES framework throughout the company’s entire eco system. Artificial Solutions will work with the following processes:
- Advocate and elevate
- Listen to learn
- Build confidence in others
- Include others
- Sponsor others
Read more about this in our Diversity Manifesto.
https://www.artificial-solutions.com/artificial-solutions-our-diversity-manifesto
Watch Gavriella Schuster’s TED talk on how to break through the gender equity divide:
Quarterly Report July to September 2021.
source
https://news.cision.com/artificial-solutions-international-ab/r/quarterly-report-july-to-september-2021,c3441856
THU, OCT 28, 2021 07:30 CET
SAAS BUSINESS GROWING AND FINANCING SECURED.
Please read the full Report at:
https://news.cision.com/artificial-solutions-international-ab/r/quarterly-report-july-to-september-2021,c3441856
Artificial Solutions signs agreement with Scania to deliver Conversational AI services.
source
https://www.artificial-solutions.com/blog/artificial-solutions-signs-agreement-with-scania-to-deliver-conversational-ai-services
October 14, 2021
Artificial Solutions® (SSME:ASAI)
https://finance.yahoo.com/quote/ASAI.ST/
announces a renewal agreement with Scania, a world-leading provider of transport solutions, for multi-language and multi-functional Conversational AI in Swedish, French, and English.
https://www.artificial-solutions.com/teneo
Scania successfully uses Teneo,
Artificial Solutions’ Conversational AI development platform, to create easy-to-use, internal and external conversational interfaces that provide support to employees and suppliers.
“By using Teneo, Scania has quickly built a number of chatbot
https://www.artificial-solutions.com/chatbots
applications in multiple languages. Taking advantage of the platform’s features, our team has been able to repurpose solutions created in one language, by expanding them to new languages and markets, faster and more efficient than what we have been able to do before. We have also seen great success in our democratization efforts, thanks to the visual representations and low-code aspects of Teneo”, said Torbjörn Oliveira Lunå, Product Owner, Business Automation at Scania.
Scania is a world-leading provider of transport solutions and operates in more than 100 countries employing around 50,000 people. The manufacturer belongs to the Traton Group, a wholly owned subsidiary of the Volkswagen Group. Teneo supports Scania in building a wide range of internal and external uses, including the Scania supplier portal.
“We are strengthening Artificial Solutions’ footprint in the transportation industry. Nowadays, brands have a much higher demand for Conversational AI from their customers and require a productive and scalable environment for better ROI. We look forward to continue to support Scania so they can keep delivering best-in-class conversational AI capabilities”, said Per Ottosson, CEO at Artificial Solutions.
Teneo is Artificial Solutions’ award-wining Conversational AI development platform. It enables enterprises to build highly conversational applications in more than 86 languages running over any device, service, or operating system. Real-time data analytics allows organizations to increase personalization, automatically maintain the conversational system, and deliver actionable insight back to the business, while enabling compliance with privacy regulations such as GDPR.
Artificial Solutions’ offering, LUIS^Teneo
https://www.artificial-solutions.com/ms-luis-teneo
is a cloud architecture and SaaS-based offering in Microsoft Azure, that makes it easy for companies to start small, and then scale their solutions for high volumes and across multiple channels & languages. LUIS^Teneo also connects to all major systems through an extensive portfolio of front and back-end connectors.
ŠKODA AUTO´s digital assistant Laura, converts leads into customers.
source
https://www.artificial-solutions.com/blog/skoda-autos-digital-assistant-laura-converts-leads-into-customers
October 7, 2021
Conversational AI, chatbots or digital assistants are frequently being used to enhance customer experience, but it can also be used as a sales tool to convert leads into customers.
On the ŠKODA AUTO website,
https://www.skoda-career.com/blog/2021-09-06-how-to-sell-cars-in-the-digital-era
visitors are greeted by the digital assistant Laura, who caters for the different needs in the buying journey. Laura helps the potential customer to a suitable car model and books a test drive.
Conversational AI analytics
ŠKODA AUTO´s Laura brings valuable information about its customers. The product owner at ŠKODA AUTO, Michal Reichl said: “We essentially work with the data like in Google Analytics. Through the conversational data, we analyse where people cut their activity short or when they hesitate. We then analyse that data and try to improve Laura on that basis. Information about leads then goes to individual markets to dealers.
As Laura is built on the Conversational AI platform Teneo she could speak 86 languages. Today Laura speaks five languages and she is being used in the UK, Ireland, Poland, Serbia, Spain, Montenegro, New Zealand, and Ukraine.
Adding functionality made simple
Teaching Laura, Michal Reichl explained has two levels. “If we want Laura to be able to recommend car models, we need to develop a new backend and modify the frontend. But if we want her to be able to answer how much the ENYAQ iV costs, it can be easily taught. We always need to add at least fifteen versions of a given question and the correct answer to Teneo. Increasing the knowledge base is therefore a relatively simple intervention. Currently, Laura is able to answer up to 110 questions. In the future, we want to expand her knowledge, primarily in the sphere of e-mobility. Around fifteen thousand questions are asked by users about this hot topic every month,” adds Michal Reichl, in conclusion.
Artificial Solutions raises SEK 250 million in credit to refinance existing debt and support continued growth.
source
https://www.investors.artificial-solutions.com/artificial-solutions-raises-sek-250-million-in-credit-to-refinance-existing-debt-and-support-continued-growth
October 5, 2021
Artificial Solutions International AB has today signed a term sheet with a fund managed by Capital Four, one of the largest independent credit asset management companies in the Nordics with a total of EUR 15 billion in assets under management regarding a 5-year credit facility of SEK 250 million, carrying an interest margin of 9.5% and with PIK (payment in kind) interest, i.e. interest costs will be capitalized and will not result in any cash interest payments during the tenure.
The proceeds will be used to refinance the Group´s existing debt and convertible debt. Following repayment of the debt and related transactional fees, approximately SEK 50 million is available for supporting the Company’s continued growth and execution of the new SaaS model strategy built on the offering LUIS^Teneo.
Prior to the completion of the transaction, the Company will repay the bond of SEK 52 million issued by Artificial Solutions Holding ASH AB, which matures on October 5, 2021, with existing cash. The Company’s Cash & Bank position on September 30, 2021, amounted to SEK 96 million. Adding the approximately SEK 50 million for supporting the Company’s continued growth, the Cash & Bank Position on September 30, 2021, would be approximately SEK 146 million.
Artificial Solutions CEO Per Ottosson comments “Refinancing our existing debt and also receiving cash to support our continued growth at attractive terms with a reputable investor such as Capital Four, is a sign of trust in our technology, people and new SaaS strategy. We welcome Capital Four as a long-term financing partner.”.
Pareto Securities and Roschier Advokatbyrå acted as financial and legal advisors, respectively, for the overall refinancing process. This disclosure contains information that Artificial Solutions International AB is obliged to make public pursuant to the EU Market Abuse Regulation (EU nr 596/2014). The information was submitted for publication, through the agency of the contact person set out below, at 17:35 CET on October 5th , 2021.
For further information, please contact:
Fredrik Törgren, CFO, Artificial Solutions
Telephone: +46 (0)70 355 08 29
E-mail: fredrik.torgren@artificial-solutions.com
About Artificial Solutions
Artificial Solutions® (SSME:ASAI) is the leading specialist in Conversational AI. We enable communication with applications, websites and devices in everyday, humanlike natural language via voice, text, touch or gesture input.
Artificial Solutions’ advanced conversational AI Teneo®, allows business users and developers to create sophisticated, highly intelligent applications that run across 86 languages and dialects, multiple platforms and channels in record time. The ability to analyse and make use of the enormous quantities of conversational data is fully integrated within Teneo, delivering unprecedented levels of data insight that reveal what customers are truly thinking.
Artificial Solutions’ conversational AI technology makes it easy to implement a wide range of natural language applications such as virtual assistants, conversational bots, speech-based conversational UIs for smart devices and more. It is already used daily by millions of people across hundreds of private and public sector deployments worldwide.
Artificial Solutions International is listed on Nasdaq First North Growth Market in Stockholm with short name ASAI. Erik Penser Bank is the Company’s Certified Adviser (www.penser.se, tfn +46 (0) 8-463 83 00, e-post certifiedadviser@penser.se).
For more information, please visit:
https://www.artificial-solutions.com/
Series: Four perspectives you shouldn’t miss when selecting a Conversational AI platform – #4 Cross vertical readiness.
source
https://www.artificial-solutions.com/blog/series-four-perspectives-you-shouldnt-miss-when-selecting-a-conversational-ai-platform-4-cross-vertical-readiness
October 5, 2021
As part of a series, Daniel Eriksson, Chief Innovation and Customer Success Officer at Artificial Solutions, gives insight on important aspects of a conversational AI platform
https://www.artificial-solutions.com/teneo
that buyers often overlook. In this third post, he will focus on the importance of cross vertical readiness when choosing the ideal Conversational AI platform.
Cross Vertical Readiness
- Most companies explore multiple use cases, make sure your tools are not locked in a vertical.
How many conversational bots do you have in your company? If not many, ask around in your network and you might be surprised that there are often more than one deployed across a business. Most companies explore Conversational AI in both internal (employee facing) and external (customer and supplier facing) use cases. Therefore, it is important to think a head when select a platform for conversational AI. How many areas do we want to explore? Are we sure we only try to build one type of solution?
I recommend considering if the toolset you are selecting is horizontal or verticalized – meaning is it optimized for a use case or industry (vertical) or optimized for agility across industries and use cases (horizontal).
Because internal and external use cases are actually very different, even in the same industry. This is where it is important for you to think about which models benefits outweighs its weaknesses. I would like to point out some of the strengths of a horizontal solution, and the first one is that you can use the same development platform across your different use cases. This would also enable you to get support from a larger community than if you go for industry specific solutions that all your competitors are using. Remember, the conversational AI-space is all about building. Find the tool that gives you the most edge in your development process.
One can think about this from a different lens. What are the strengths of pre-trained solutions for a specific use case? You typically save time sourcing training data; you might have pre-built knowledge that you can reuse. This can be beneficial, but also has limitations. if you want to make changes, or you need to add specific training data that is unique for you can you do that? And does the use-case specific package help you in another use case?
There are probably exceptions, but the simple rule is likely that a Conversational AI platform either is pre-built and then a bit limited in terms of customizations OR more flexible and then you have to build more yourself. We think this is a world of builders and would recommend you to really think about the long-term benefits of choosing a horizontal solution.
- It is really about building, so packages that are reusable across verticals are typically more valuable than use-case specific ones.
It might sound like the advice I’m giving now is contradicting my previous statement but here it goes – pre-built knowledge can really save you time! There is a reason why communities end up building great things together, everyone benefits in efficiency from the contributions of others. So, no doubt, pre-built packages are great. What might be surprising though, is that in Conversational AI, the pre-built packaged need to be very small to be useful. And with small, I mean for example a collection of intents instead of a complete “pre-built bot”. An integration package for salesforce can easily be re-used if it only includes the basic building blocks of the API connection to salesforce. Because then it can easily be incorporated in many different use cases – internal sales support, internal reporting, external customer support, etc. But a pre-trained “external customer support” package might even take more time to adapt to a different use case. Because you need to review and adapt every single component of the package and if you end up needing to restructure you might as well start with a white piece of paper instead. So really discuss with your vendor about pre-built packages, but make sure they are modular and fairly small. And remember to share modules you have built yourself with the community. That is typically a great way to share work and find improvements.
- Your company and clients probably need a very specific tonality, make sure you can control it yourself.
My last advice is probably a bit difficult to map in the top 4 I’ve mentioned – but I chose to file it under “Cross vertical readiness”. This is my take: Try to build your bots to reflect your company value and chose the tonalities that help build your brand. This is likely not easy, and I am not sure you really can get much help on that from external parties. You need to have your culture and brand promoters to be involved. Why is this relevant when selecting a conversational AI platform? Because in the end we recommend that you make sure that can collaborate with different competencies across your business and that you are in control so that you can design exactly the experience your users should have. Your customers will spend time interacting with your bot, it is one of the few bidirectional interactions your will have with your customer base – don’t waste it! Be in control, build your brand!
Series: Four perspectives you shouldn’t miss when selecting a Conversational AI platform – #3 Total Cost of Ownership.
source
https://www.artificial-solutions.com/blog/series-four-perspectives-you-shouldnt-miss-when-selecting-a-conversational-ai-platform-3-total-cost-of-ownership
September 21, 2021
As part of a series, Daniel Eriksson, Chief Innovation and Customer Success Officer at Artificial Solutions, gives insight on important aspects of a conversational AI platform
https://www.artificial-solutions.com/teneo
that buyers often overlook. In this third post, he will focus on the importance of total cost of ownership when choosing the ideal Conversational AI platform.
Total Cost of Ownership
- Identify the hidden costs of the deployment models.
What is a deployment model? Well, most CAI platforms can be offered in different ways: SaaS, on-prem, hosted, opens source etc. Let’s assume you and your security team have done the homework and that all the deployment model options are on the table. What cost aspects an important to consider?
Does a pre-pay model cover a hidden cost? A prepay model is a commercial model often linked to the deployment model where the client needs to commit to a certain resource consumption or ambition. The dynamics of a pre-paid model is quite often “you pay for consumption X, if you consume more you need to pay more, if you consume less, you still pay X”. One aspect I recommend you to consider is that Conversational AI projects typically are a bit difficult to estimate, then can go slower or faster than expected. They can hit a larger or smaller audience than targeted. A pre-paid model can easily actually in hindsight turn out to be quite expensive.
Another hidden cost is the IT management cost of running and maintaining the installation yourself. Even if you pay for a license + support for an on-prem version you still need to pay for hardware, daily management, tools for monitoring or on-call support in the middle of the night. Plus think about what your team will spend time with. If you scope a team for building, but they spend most of their time on infra issues, that’s quite expensive.
Always try to think about the hidden cost of each model, to be able to try to estimate the total cost of ownership. Think about how much it will cost after first deployment for maintenance and testing, etc., across the lifecycle. Do not overlook the fact that a Conversational AI platform needs to support all the phases after going live as well. This is where version control, published flags, re-factoring, regression testing, analytics, performance dashboards, improvement dashboards, etc., come into play. If you choose a tool that only helps you with your first build, you will end up paying a lot more from the efficiencies incurred later. Always think about the entire lifecycle of the program and what is needed in different phases. Make sure you select a tool that is up to the job.
- Will your resources spend the time on the right thing?
We mentioned this quickly before – but it is worth reminding again. You need to make sure your team members can focus on what they can do best – build an ambitious and successful conversational bot! It is not uncommon in our industry that clients testify to use 40-60% of the teams’ time spent on tech support, infra and connectivity instead of designing, building, and improving the bot. Because if the team needs a lot of time to either build supportive tooling, or to just make the solution be online at all – then most of those things you want to develop in terms of user experience – they end up on the forgotten backlog pile. So, when selecting a Conversational AI, special care must be put into maximizing resources and staff efficiency when building a great bot.
- Are your resources efficient across the program lifecycle?
Everyone wants to be productive. That is the same across all disciplines and industries and for sure is true for conversational AI developers. All conversational AI developers I know of, both love to build and to deploy. They want to be productive in their domain.
So, try to see past the fancy words and promises of quick wins in Conversational AI and ask yourself – will this tool make my team productive?
And not only productive in their first 1-2 month in the project but also two years from now when things have scaled up and become more encompassing but also more complex. Great teams build great bots – your job when selecting a Conversational AI tool is to help the team be as productive as possible across the entire program lifecycle.
Swisscom, Circle K and CGI to join Artificial Solutions on stage to discuss the importance of owning your Conversational AI journey.
source
https://www.artificial-solutions.com/blog/swisscom-circle-k-and-cgi-to-join-artificial-solutions-on-stage-to-discuss-the-importance-of-owning-your-conversational-ai-journey
September 20, 2021
After a year of virtual meetings, we are preparing to be exhibiting and speaking at the AI Summit UK,
https://london.theaisummit.com/
our first physical event in a long time! That alone is a reason to be excited as we will get to engage with other professionals in the industry in person but to celebrate such an occasion, we are bringing some amazing company: our clients Swisscom and Circle K, and partner CGI.
During the first day of the event, Artificial Solutions’ CEO, Per Ottosson will be delivering a keynote in the CX, Marketing and e-Commerce track under the title “Owning your Conversational AI Journey”. On this presentation, he will discuss how Conversational AI technology and tools have reached a point where companies no longer need to fully rely on software providers to develop sophisticated natural language-based solutions. To show real examples of this, Per will be joined on stage by Anne Jenkins from CGI, Laura Krumina from Circle K and Roger Dill from Swisscom; they will explain how by taking ownership of the development has allowed these companies to increase team productivity and solution scalability in their projects.
At the beginning of the year, Artificial Solutions announced LUIS^Teneo,
https://www.artificial-solutions.com/blog/artificial-solutions-launches-luisteneo-a-conversational-bot-runtime-development-environment-for-microsoft-azure-customers
a SaaS-based development suite and bot engine using Microsoft LUIS. LUIS^Teneo allows you to build, scale and maintain LUIS-based bots with less resources improving conversational bot ROI. The company also increase the number of languages supported by Teneo, our conversational AI platform from 35 to 86, covering about 40% of the world’s population.
If you are attending the event, make sure you stop by our stand (#AI444) and say hello! Our team, clients and partner will be there to answer all your questions about our new proposition, LUIS^Teneo, and help you get started on your own Conversational AI journey. We look forward to seeing you (in person!).
Artificial Solutions is contemplating a bond issue.
source
https://www.investors.artificial-solutions.com/artificial-solutions-is-contemplating-a-bond-issue
September 17, 2021
Artificial Solutions International AB has mandated Pareto Securities to arrange fixed income investor meetings in order to evaluate a debt capital raise. A 3-year, senior secured, floating rate bond issue of up to SEK 250 million may follow, subject to inter alia market conditions, where the proceeds would be used to refinance the Company’s existing debt and general corporate purposes.
This disclosure contains information that Artificial Solutions International AB is obliged to make public pursuant to the EU Market Abuse Regulation (EU nr 596/2014). The information was submitted for publication, through the agency of the contact person set out below, at 7:30 a.m. CET on September 17, 2021.
For further information, please contact:
Fredrik Törgren, CFO, Artificial Solutions
Telephone: +46 (0)70 355 08 29
E-mail: fredrik.torgren@artificial-solutions.com
About Artificial Solutions
Artificial Solutions® (SSME:ASAI) is the leading specialist in Conversational AI. We enablecommunication with applications, websites and devices in everyday, humanlike natural language via voice, text, touch or gesture input.
Artificial Solutions’ advanced conversational AI Teneo®, allows business users and developers to create sophisticated, highly intelligent applications that run across 86 languages and dialects, multiple platforms and channels in record time. The ability to analyse and make use of the enormous quantities of conversational data is fully integrated within Teneo, delivering unprecedented levels of data insight that reveal what customers are truly thinking.
Artificial Solutions’ conversational AI technology makes it easy to implement a wide range of natural language applications such as virtual assistants, conversational bots, speech-based conversational UIs for smart devices and more. It is already used daily by millions of people across hundreds of private and public sector deployments worldwide. Artificial Solutions International is listed on Nasdaq First North Growth Market in Stockholm with short name ASAI. Erik Penser Bank is the Company’s Certified Adviser (www.penser.se, tel +46 (0) 8-463 83 00, e-mail certifiedadviser@penser.se).
For more information, please visit
https://www.artificial-solutions.com/
Artificial Solutions hires senior global sales manager from Snowflake.
source
Artificial Solutions hires senior global sales manager from Snowflake
September 9, 2021
Artificial Solutions® (SSME: ASAI)
http://www.nasdaqomxnordic.com/aktier/microsite?Instrument=SSE145803&name=Indentive%20B
announces today that the company has recruited Nicolas Köllerstedt to the role of Chief Revenue Officer. Nicolas Köllerstedt has many years of experience in international sales from the software industry, including the fast-growing SaaS company Snowflake.
Nicolas will start at Artificial Solutions in September 2021 and reporting to the CEO of the company.
Before joining Artificial Solutions, he was regional manager for the Nordic and Baltic countries at Snowflake. Nicolas has extensive international sales experience from B2B sales, including being Country Manager for Sweden, Finland, and the Baltics at Rubrik, Sales Manager for Northern Europe, Nordics, and Baltics at Hedvig, and Sales Manager for the Nordics and Baltics at Virtual Instruments. He has also worked at EMC, Hitachi Data Systems, Fujitsu, and Dell.
“Nicolas has a strong commercial drive and a pragmatic leadership style, which makes him very well suited to take Artificial Solutions’ sales organization to the next level. I am very happy to welcome Nicolas to us, ”says Per Ottosson, Artificial Solutions’ CEO. Nicolas lives in Stockholm, Sweden. Together with his wife, Nicolas has four grown children and a grandchild. He is a dedicated hunter, plays paddle tennis and likes to enjoy all kinds of outdoor activities when he is not working.
Artificial Solutions Announces IP Co-Sell Incentivized Partnership with Microsoft.
source
https://www.artificial-solutions.com/blog/artificial-solutions-announces-ip-co-sell-incentivized-partnership-with-microsoft
September 6, 2021
Artificial Solutions® (SSME: ASAI)
https://finance.yahoo.com/quote/ASAI.ST/
announces today that the company joins the Azure IP Co-sell incentivized partnership to Microsoft. From now on, Microsoft’s sales organization will be incentivized for bringing Artificial Solution’s Teneo to its clients.
Teneo is Artificial Solutions’ award-wining Conversational AI development platform. It enables enterprises to build highly conversational applications in more than 86 languages running over any device, service, or operating system. Real-time data analytics allows organizations to increase personalization, automatically maintain the conversational system, and deliver actionable insight back to the business, while enabling compliance with privacy regulations such as GDPR.
Artificial Solutions’ offering, LUIS^Teneo,
https://www.artificial-solutions.com/ms-luis-teneo
is a cloud architecture and SaaS-based platform in Microsoft Azure, that makes it easy for companies to start small, and then scale their solutions for high volumes and across multiple channels & languages. LUIS^Teneo also connects to all major systems through an extensive portfolio of front and back-end including Amazon Alexa, Automation Anywhere, Facebook Messenger, IVR by CSG-IM, IVR by Twilio, Jira Software, Hubspot, SMS by Nexmo, Slack, Telegram, Web Chat, Twitter, WeChat, WhatsApp by Twilio, Blue Prism, Contentful, Amadeus, Freshdesk, Freshservice, HubSpot, Jira, Monday.com, Sabre, Salesforce, ServiceNow, Shopify, UiPath, Power Automate, QuickBooks, Zendesk Support and Zoho Desk.
As a partner, not only is LUIS^Teneo available at the Microsoft Azure marketplace,
https://azuremarketplace.microsoft.com/en-nz/marketplace/apps/artificialsolutions1610634679270.teneo_artificialsolutions?tab=Overview
but the two organizations will begin jointly selling LUIS^Teneo to customers who need to maximize their performance in Conversational AI. LUIS^Teneo adds all the features of Teneo to LUIS, which speeds up development and deployment, makes it easier to add languages and channels, and enhances scalability and performance by utilizing a modern SaaS based delivery model.
“We are thrilled to be working with Microsoft to bring our high-performance platform to their customers,” said Per Ottosson, CEO, Artificial Solutions. “The Incentivized Partnership is the highest form of partnership with Microsoft’s sales force. It incentivizes their sales organization to sell LUIS^Teneo, which considerably expands Artificial Solutions commercial reach.”
Microsoft Azure’s Cognitive Services is a comprehensive family of AI services and cognitive API´s. The combination of the two technologies leverages Teneo’s and MS LUIS’ strong points to benefit users with:
– A powerful and user-friendly developer environment to increase productivity, scalability and collaboration.
– An extension of MS LUIS’ intent recognition engine with Artificial Solutionsr intellectual property and linguistic approach expanding Microsoft LUIS to 86 languages:
Afrikaans, Albanian, Amharic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bosnian, Bulgarian, Catalan, Chinese (Mandarin), Croatian, Czech, Danish, Dutch, English, Esperanto, Estonian, Ewe, Faroese, Finnish, French, Galician, German, Greek, Georgian, Gujarati, Hindi, Hungarian, Icelandic, Indonesian, Italian, Igbo, Irish, Japanese, Latvian, Kazakh, Kinyarwanda, Kirundi, Korean, Kyrgyz, Lithuanian, Luxembourgish, Macedonian, Malay, Malagasy, Maltese, Marathi, Mongolian, Nepali, Norwegian, Odia, Oromo, Papiamento, Polish, Portuguese, Quechuan, Romansh, Romanian, Russian, Sámi, Sango, Scottish Gaelic, Shona, Sinhala, Somali, Swahili, Swazi, Serbian, Slovak, Slovene, Spanish, Swedish, Turkish, Tigrinya, Tsonga, Tswana, Turkmen, Ukrainian, Uzbek, Vietnamese, Welsh, West Frisian, Yoruba and Zulu.
For further information:
Per Ottosson, CEO, Artificial Solutions
Email: per.ottosson@artificial-solutions.com
About Artificial Solutions
Artificial Solutions® (SSME:ASAI) is the leading specialist in Conversational AI. We enable communication with applications, websites and devices in everyday, humanlike natural language via voice, text, touch or gesture input.
Artificial Solutions’ advanced conversational AI Teneo®, allows business users and developers to create sophisticated, highly intelligent applications that run across 86 languages and dialects, multiple platforms and channels in record time. The ability to analyse and make use of the enormous quantities of conversational data is fully integrated within Teneo, delivering unprecedented levels of data insight that reveal what customers are truly thinking. Artificial Solutions’ conversational AI technology makes it easy to implement a wide range of natural language applications such as virtual assistants, conversational bots, speech-based conversational UIs for smart devices and more. It is already used daily by millions of people across hundreds of private and public sector deployments worldwide.
For more information, please visit
https://www.artificial-solutions.com/
Testing your Teneo Conversational AI Solution with Botium.
source
https://www.artificial-solutions.com/blog/testing-your-teneo-conversational-ai-solution-with-botium
August 24, 2021
We are always looking to strengthen the capabilities of our Teneo platform
https://www.artificial-solutions.com/teneo
by seeking partnerships that help our customers enhance their solutions and boost productivity. Teneo is an open, customizable platform that allows customers to connect with their preferred tools (back-end and front-end systems, channels, RPA, etc.) throughout the different stages of development using Teneo Connectors.
https://developers.artificial-solutions.com/resources/backend-connectors/power-automate
In this article, we are focusing on the importance of end-to-end testing and why it is vital to ensure that chatbots function correctly and meet the expectations that have been bestowed on them. While auto-testing in Teneo allows you to perform quality assurance tasks during the development and maintenance of a Teneo solution, you may wish to perform end-to-end tests before you release your bot to ensure the bot behaves as intended, the answers provided are as expected and the integrations work as anticipated. For this reason, we’ve partnered with Botium.ai
https://www.botium.ai/
to create a connector
https://developers.artificial-solutions.com/studio/test-your-bot/test-your-bot-with-botium
that allows developers to use their product for end-to-end testing solution. Botium is a quality assurance framework that was specifically developed for regression testing of chatbots, including Teneo chatbots.
So, if you want to know more about how to start testing your Teneo chatbots with Botium, this post is for you.
In case you are new to using Teneo, the first thing you need to do is register to get a free sandbox environment at
https://developers.artificial-solutions.com/signup/?utm_source=botium&utm_medium=article0821
o get your first solution up and running you can follow the following tutorial:
https://developers.artificial-solutions.com/getting-started/your-first-solution
After you have your solution running you move on to testing with Botium.
Start testing with Botium
The first step is indeed to log into your Teneo Studio and make sure that you have published the chatbot you’d like to work with. Once you have accomplished this step, you will get a URL that opens the chatbot you have built in a sandbox environment. After that, your Botium Box account is waiting for you to set up the first smoke test.
?? Regression testing
is done to make sure that the new deployments or changes in the conversation flow did not have any negative side effects on the existing functionalities. It is nothing but a full, or partial selection of already executed test cases, which are re-executed to ensure existing functionalities work fine.
In this test type, Botium is testing directly against Teneo, directly against the NLP engine in use, or bot-building platform. This is the advisable starting point for testing conversational AI.
?? Why?
At API level, you can execute enormous test sets in just a few seconds, so the most burning problems will occur at this point. One important difference between traditional Software Testing and Chatbot Testing is the size of the test sets. Talking to a chatbot usually has no barriers (button-based bots are exceptions), as the user can say anything to a bot. This peculiarity might result in infinitely large test sets.
You start by selecting your chatbot channel in our Quickstart Wizard. There’s a card including the logo and description for every technology. Botium supports more than 45 technologies and one of them is Teneo, of course.
So, go for it
Once you have chosen the Teneo channel, you will need to copy the URL from Teneo Studio to connect to your chatbot. It is rather easy to check if the credentials and the connection have been set up, as you can simply say hello to your chatbot, and receive an answer in case everything is working fine. The next step in the Botium Quickstart Wizard is to always compose your tests. For a simple smoke test, you can use the visual test case editor.
?? Be familiar with the capabilities of your chatbot.
Before composing your test, you must be aware of the limitations of your bot, the intents it should recognize and the structure of the conversation flow behind it.
In this case, we know that the demo Barista bot we are currently using is a funny folk and can tell us some jokes. So, we can just simply ask him to entertain us. You can send every request to the bot in clear text, using the visual text case editor. No coding or scripting is required. The same is valid for the bot answer. You can assert for every possible reply, no matter if it’s just text or more fancy stuff, like cards, carousels, buttons, voice etc. We save the test project and execute the tests by hitting the start session button. You have about enough time to take a sip in your coffee until the results arrive on the test cases tab. If the bot replies as expected, then everything is green, the test passes and we get back the joke expected.
To take things from here one step further, we can easily integrate the tests in every continuous integration and delivery pipeline. For every single project created in Botium Box, we are also generating a webhook, curl and cli command that can be triggered from your pipeline.
CI/CD pipeline integration
?? What’s the benefit?
Whenever you do a commit, or any changes in your conversation model or your UI, you can trigger your test project. To showcase this solution, we are using Jenkins, but it is working with every pipeline orchestration tool.
In Jenkins, we create a new item. Click on the freestyle project and define when to execute the tests. Our suggestion is to time these tests when the git repository gets changed, but you can also just add (with cron expressions) a specific time slot. The last thing we have to do in Jenkins is to add a built step. Therefore we could just say execute a shell command and so we go back to our Botium Box and copy the generated curl into Jenkins. Apply and Save! This means that from now on, these tests will be executed (in our case at 8:30), with the results being delivered both back to Jenkins and Botium. This small smoke test is of course far away from an entire regression testing, where we need to cover all possible paths through our conversation model, but a great start!
Let’s take things further with E2E testing
Let’s emphasize our efforts to make test automation fast and easy. For E2E testing we go through our Quickstart Wizard again. As usual, we select our chatbot channel, compose or choose our test sets and tell Botium where to run the tests E2E.
?? The main purpose of E2E Testing is to test from the end user’s perspective by simulating the real user scenario and validating the system under test and its components for integration and data integrity.
You can run these tests in Botium against a browser farm to test all your preferred browser types and versions in parallel. Or, against a device cloud provider, to test on all your clients preferred smartphones and tablets. Botium Box integrates with major device cloud providers. Or, for a simple smoke test it might be already sufficient to use the headless Chrome included in Botium Box. To shake things up, this time we show you how you can compose tests by recording your own voice. After finishing the Quickstart Wizard, Botium Box will open a live chat session. After you have a conversation with your bot, you can just save it as a new test case and execute them anytime you want. Botium also takes screenshots of the conversation, enabling you to have a look at the chat happening in the real environment.
To run the tests E2E, Botium Box will use Selenium and Appium in the background. In spite of that, you don’t need to write a single line of code. Botium will generate all the tests based on your chat recording.
We recently co-hosted a webinar in which you can see a demo of live E2E testing of a Teneo solution using Botium.
To watch it on-demand just click here.
https://www.brighttalk.com/webcast/17594/484772?utm_source=ArtificialSolutions&utm_medium=brighttalk&utm_campaign=484772
Series: Four perspectives you shouldn’t miss when selecting a Conversational AI platform – #2 Tool Selection.
source
https://www.artificial-solutions.com/blog/series-four-perspectives-you-shouldnt-miss-when-selecting-a-conversational-ai-platform-2-tool-selection
August 19, 2021
As part of a series, Daniel Eriksson, Chief Innovation and Customer Success Officer at Artificial Solutions, gives insight on important aspects of a conversational AI platform
https://www.artificial-solutions.com/teneo
that buyers often overlook. In this second post, he will focus on the importance of language support and localization when choosing the ideal Conversational AI platform.
Language Support & Localization
What is “language support”?
What does language support really mean in the conversational AI world? It is actually an important question to think about before evaluating a CAI-tools.
A conversational bot’s output – what the bot is saying – is almost always written by the implementor. It is like a manuscript written by your team that the bot follows. There can be variations of output generated by the bot that allows for a little more natural conversation, but most clients have a bot for a specific domain or purpose, so the degrees of freedom are fairly small. What the bot is saying to the users is largely designed by the bot development team. Therefore, the bot’s output is very controlled. So, in terms of output – language support does not mean that much – it can simply be that the specific language characters do not become garbled in the output. To help with the output, a bot development tool might have libraries available for some generic output like social talk and standard responses.
In short – conversational language support has very little to do with what the bot is “saying to” your users.
Language support is almost entirely about how the bot can support and map INPUT for a specific language. Can the bot accept Cyrillic characters without spitting out an error message? Can the bot split a sentence in Japanese to identify the verbs, nouns and adjectives? Can the bot, without training, classify words or phrases in a Spanish sentence?
What is important for a bot developer is that the language supports help them build bots for a specific language. So can the bot platform for a specific language “accept an input and annotate (add metadata)” so that the developer can make use of this to design a good conversational bot experience.
Different conversational AI platforms might claim to support German. But for one platform it can mean “the bot accept German characters” and for the other “the bot has an extensive annotation of words, phrases, concepts, entities, and pre-built knowledge in German”. Always try to read behind the simple description of a products language support. And think about what languages
https://www.artificial-solutions.com/blog/artificial-solutions-expands-conversational-ai-platform-84-languages
your company need to deploy bots in.
What is “localization” and how is it valuable?
Most companies today want to roll out successful conversational bot implementation in more than one language. This happens from different reasons. Sometimes businesses operate in countries or regions like Switzerland with several official languages, or they want to expand their market and deploy a bot in a neighbouring country. You can even say that deploying the same bot in two different channels like phone and Facebook messenger might require two different “languages” or at least tonalities.
Now here comes the tricky part – how do you develop and maintain a bot which is MOSTLY the same but in two or more languages? Do you just copy it and try to maintain two or more parallel solutions? Anyone who has tried this knows that this is a recipe for failure, or at least very inefficient and resource demanding way of working.
One solution to this problem is called “localization”.
Localization means you can create a master solution and then localize it for each specific language/region. The localized solution is linked to the master solution so that updates and changes can be propagated (under change control) to the local solutions.
Localization is not only about languages. If the same conversational bot flow needs to support two different back-end systems for two different regions – then localization should support that feature as well. You need to be able to make variations to the local implementation, without losing the benefit of the link to the master solution.
For most companies with an international outlook, consider the benefits of requiring your conversational AI development platform to support localization. Think about what languages support and variations you need long term, and make sure the toolset you chose gives your room to grow.
Author: Daniel Eriksson
Website: https://www.artificial-solutions.com/
Daniel Eriksson joined Artificial Solutions in December 2020 as Chief Innovation and Customer Success Officer. He has 15 years of Business Development and Technology Leadership experience, the last 7 of which has been spent in the automation and Conversational AI space. Daniel has a Master of Science in Engineering Physics at the Royal Institute of Technology as well as Masters in Business and Economics at the Stockholm School of Economics. He lives in Stockholm, Sweden.
QUARTERLY REPORT APRIL TO JUNE 2021
source
https://www.investors.artificial-solutions.com/quarterly-report-april-to-june-2021
August 10, 2021
Please read the full Report at:
https://www.investors.artificial-solutions.com/quarterly-report-april-to-june-2021
Artificial Solutions boosts Conversational AI Platform, Teneo, with seven new connectors.
source
https://www.artificial-solutions.com/blog/artificial-solutions-boosts-conversational-ai-platform-teneo-with-seven-new-connectors
August 9, 2021
Artificial Solutions® (SSME:ASAI), a leading specialist in enterprise-strength Conversational AI,
https://www.artificial-solutions.com/conversational-ai
announced today that seven and new back-end connectors have been added to their award-winning development platform, Teneo, including HubSpot, Sabre, Shopify, and Automation Anywhere among others.
Teneo Connectors
https://www.artificial-solutions.com/blog/artificial-solutions-launches-teneo-connectors-to-deliver-chatbot-super-powers
are pre-built integrations that extend Teneo applications with a wide range of channels and back-end systems/APIs. These integrationst allow Teneo developers to reduce development time to value for conversational bots and agents, enhancing their Conversational AI solutions with greater intelligence and capabilities. This goal goes along with the company’s crusade to help chatbot developers speed up implementation, increase team productivity and ensure project scalability, across different industries and in up to 86 languages.
The Integration Manager in Teneo Studio also allows technical developers to produce new integrations that support the development of conversational applications by less technical users. Thanks to this module, business users with no technical skills may simply “drag and drop” those re-usable blocks of functionality into their Conversational AI flows.
Teneo integrations are developed in Java and can make use of existing Java classes/libraries if necessary, so there are basically no restrictions as to what Teneo can integrate with. In addition, the Analytics suite within Teneo allows developers to easily integrate with enterprise business intelligence (BI) tools for performance tracking and visualization purposes.
“We are delighted to expand our stack of Teneo Connectors and make them available to our large developer community; these will help teams boost their chatbots’ capabilities and deliver more intelligent responses based on the back-end actions, requests and processes executed by their solutions”, says Andreas Wieweg, CTO of Artificial Solutions.
Teneo Connectors earned Artificial Solutions recognition as a market leader for Conversational AI in the latest Provider Lens™ Intelligent Automation report published by ISG a few months ago, as well as a recognized by Gartner as a Tech Innovator in the Conversational AI space.
The new additions to Teneo’s existing back-end connectors
https://developers.artificial-solutions.com/resources/backend-connectors
are:
- HubSpot: https://www.hubspot.com/
https://developers.artificial-solutions.com/resources/backend-connectors/hubspot-crm
The HubSpot connector showcases how to integrate a Teneo solution with the HubSpot REST API. The example flows in the solution demonstrate how tickets can be retrieved, as well as how to create, update, delete and/or filter tickets on HubSpot.
- Freshservice: https://freshservice.com/
https://developers.artificial-solutions.com/resources/backend-connectors/freshservice
The Freshservice connector allows developers to create Teneo bots that will create and manage tickets via the Freshservice API. The connector contains an integration with Freshservice and example flows to create, read, update and delete support tickets.
- QuickBooks: https://quickbooks.intuit.com/global/
https://developers.artificial-solutions.com/resources/backend-connectors/quickbooks
The QuickBooks connector provides all the necessary building blocks to integrate a Teneo connector with the QuickBooks REST API. The example flows in the solution demonstrate how to authenticate users, as well as how to retrieve, filter, create, update and delete invoices on QuickBooks.
- Shopify: https://www.shopify.com/
https://developers.artificial-solutions.com/resources/backend-connectors/shopify
The Shopify connector includes all the necessary integrations to connect a Teneo solution with the Shopify REST API. The example flows in the solution demonstrate how products can be retrieved, as well as how to filter, create, update or delete products on Shopify.
- Sabre: https://www.sabre.com/
https://developers.artificial-solutions.com/resources/backend-connectors/sabre
The Teneo Sabre Connector allows Teneo Developers to easily implement conversational experiences within the travel domain that are powered by Sabre APIs. Travel Agencies can utilize the Teneo Sabre Connector to create online booking assistants for their agents and consumers.
- Automation Anywhere: https://www.automationanywhere.com/
https://developers.artificial-solutions.com/resources/backend-connectors/automation-anywhere
The Automation Anywhere connector shows how to use a Teneo bot to manage Robotic Process Automation (RPA) workflows using Automation Anywhere. The solution contains an integration with Automation Anywhere and an example flow to start a job on Automation Anywhere’s RPA platform.
- Power Automate: https://emea.flow.microsoft.com/de-de/
https://developers.artificial-solutions.com/resources/backend-connectors/power-automate
The Power Automate connector showcases how to connect a Teneo bot with a flow created in Power Automate. The solution contains a Power Automate integration and an example flow that can be used to send an email in Outlook via Power Automate. As the integration source code is embedded in the solution, it can easily be extended or used as a starting point for new methods.
Earlier in 2021 Artificial Solutions added eight connectors to Teneo’s existing back-end connectors:
- ServiceNow: https://www.servicenow.com/
https://developers.artificial-solutions.com/resources/backend-connectors/servicenow
the cloud computing platform helps companies manage digital workflows and automated experiences for enterprise operations. The connection between a Teneo solution and a ServiceNow REST API can link conversational AI solutions to retrieve incidents, create, update or delete incidents on ServiceNow.
- Blue Prism: https://www.blueprism.com/
https://developers.artificial-solutions.com/resources/backend-connectors/blue-prism
the integration with Blue Prism’s Robotic Process Automation (RPA) technology will allow enterprises to be more agile and cost-effective by automating mission-critical processes and allowing human agents to focus on more complex and business-driven issues. By integrating with Teneo, these automations can now be easily connected directly to end-users through a natural language interface in multiple languages to maximize the benefits of RPA sequences and conversational AI applications.
- Contentful:
create, manage, and distribute content to any platform. This connector can link your Teneo-powered bot with a content management system built in the Contentful platform.
- Freshdesk: https://freshdesk.com/1
https://developers.artificial-solutions.com/resources/backend-connectors/freshdesk
the cloud-based customer support software can now integrate with Teneo to connect conversational AI capabilities with authentication, ticket retrieval, contact agents and ticket management.
- Monday.com: https://monday.com/
https://developers.artificial-solutions.com/resources/backend-connectors/monday-dot-com
the project management tool enables organizations to manage tasks, projects, and teak work more efficiently. This Teneo backend connector can use conversational bots to perform end-to-end tasks such as the retrieval of items from dashboards or grouping, adding, and filtering items. As in most of Teneo’s connectors, the source code of the integration is embedded in the solution, it can easily be extended or used as a starting point for new methods.
- Zoho Desk: https://www.zoho.com/desk/
https://developers.artificial-solutions.com/resources/backend-connectors/zoho-desk
as a context-aware customer service software that promotes self-service and cross-functional processes, Zoho Desk’s back-end integration with Teneo’s solution contains methods for authentication and the retrieval, filtering, creation, updating and deletion of tickets., with the possibility of extending new methods.
- Jira Software: https://www.atlassian.com/software/jira
https://developers.artificial-solutions.com/resources/backend-connectors/jira-cloud
the widely used agile project management software can integrate with Teneo to use conversational bots for authentication and ticket management.
- Zendesk: https://www.zendesk.com/
https://developers.artificial-solutions.com/resources/backend-connectors/zendesk-support
this connector’s integration with Zendesk support allows for Teneo bots to let end-users create and manage support tickets with Zendesk’s customer service software.
Additionally, for organizations that operate across many regions or countries, and require enterprise conversational agents and conversational user interface (CUI) deployments in many languages, Artificial Solutions support a unique functionality for a rapid rollout and scaling of multilingual solutions, as well as efficiency of maintenance and consistent quality experience for users. The functionality, Master/Local, typically enables an enterprise to reuse up to 80% of the original content.
Artificial Solutions signs multi-year agreement with Circle K to provide Conversational AI applications.
source
https://www.artificial-solutions.com/blog/artificial-solutions-signs-multi-year-agreement-with-circle-k-to-provide-conversational-ai-applications
August 3, 2021
Circle K, part of the Global Fortune 500 retailer Alimentation Couche-Tard, selects Artificial Solutions’ Conversational AI-platform
https://www.artificial-solutions.com/conversational-ai
to support omni-channel customer experience in multiple languages.
Artificial Solutions, a leading specialist in enterprise-strength Conversational AI, announced today that Circle K has renewed its agreement to run its Conversational AI deployments on the award-winning Teneo platform, to continue to provide support for customers and employees of its convenience retail outlets in the US and Scandinavia.
Conversational AI is used by Circle K to support customers through three solutions in North America and Europe:
- Kay, Circle K´s website chatbot, the one stop shop for finding the nearest location, deals and rewards.
- Circle K US car wash app.
https://www.circlek.com/circle-k-carwash
- Voice bot for North American stores, that handles inquiries done via call lines, about fuel delivery times.
“Conversational AI enables us to make our customers lives a little easier every day by serving their needs more efficiently. Working with Artificial Solutions has had significant benefits; Teneo has allowed the internal Conversational AI-team to build solutions faster, so that we can continue to focus on delivering exceptional customer experiences”, said Edgars Ozolnieks, Senior Manager – Digital Customer Service Solutions at Circle K.
For their deployments, Circle K is taking advantage of Teneo’s unique master-local feature. The main solution was built in English, and then exported to Swedish, Danish and Norwegian, repurposing 80% of the initial solution.
Circle K is one of the leading convenience store chains globally, and this partnership with a power-house retailer is a major validation for our technology,” said Per Ottosson, CEO at Artificial Solutions.
For further information:
Per Ottosson, CEO, Artificial Solutions
Email: per.ottosson@artificial-solutions.com
About Circle K and Alimentation Couche-Tard Inc.
Couche-Tard is the leader in the Canadian convenience store industry. Circle K is its global brand outside of Quebec, Canada. Couche-Tard is a global leader in convenience and fuel retail, operating in 26 countries and territories, with more than 14,200 stores, of which approximately 10,800 offer road transportation fuel. With its well-known Couche-Tard and Circle K banners, it is the largest independent convenience store operator in terms of the number of company-operated stores in the United States and it is a leader in the convenience store industry and road transportation fuel retail in Canada, Scandinavia, the Baltics, as well as in Ireland. It also has an important presence in Poland and Hong Kong. Approximately 135,000 people are employed throughout its network.
For more information on Alimentation Couche-Tard Inc. or to consult its Unaudited Interim Condensed Consolidated Financial Statements and Management Discussion and Analysis, please visit:
https://corpo.couche-tard.com/fr/
Artificial Solutions to deliver Conversational AI service to A1 Bulgaria.
source
https://www.artificial-solutions.com/blog/artificial-solutions-to-deliver-conversational-ai-service-to-a1-bulgaria
July 29, 2021
Artificial Solutions® (SSME: ASAI), the leading specialist in Conversational AI (CAI)
https://www.artificial-solutions.com/conversational-ai
for the enterprise, today announced that A1 Bulgaria has signed a new contract for the Bulgarian market together with Artificial Solutions and its partner Microsoft.
A1 Bulgaria is part of A1 Group, a leading provider of digital services and communications solutions in Central and Eastern Europe with around 25 million customers, currently operating in seven countries: Austria, Bulgaria, Croatia, Belarus, Slovenia, the Republic of North Macedonia and the Republic of Serbia.
With LUIS^Teneo,
https://www.artificial-solutions.com/ms-luis-teneo
Artificial Solutions cloud-based integrated development environment for Microsoft LUIS’ customers, A1 Bulgaria will deploy a range of conversational applications in its customer service. The apps are initially deployed in Bulgarian, with the possibility of expanding its reach to other languages via a smart localization feature, a unique functionality provided by Artificial Solutions.
During the tender Artificial Solutions’ patented hybrid approach, that use machine and linguistic learning when training a conversational bot which was an influential factor in selecting LUIS^Teneo over the other participants in the tender.
“The end-to-end customer experience is a journey where A1 strives to deliver service and user experience excellence in all interactions. We are committed to using our knowledge to anticipate customers’ needs, facilitate interactions while eliminating pain points and complexity. LUIS^Teneo conversational AI services will help us do that and with Artificial Solutions as a partner we will increase the digital transformation of A1 Bulgaria’s customer experience,” commented Elitsa Shopova, Senior Customer Experience Director, A1 Bulgaria.
“We look forward to further increase A1 Bulgaria´s customer experiences with our conversational AI capabilities. LUIS^Teneo has a proven track record in optimizing productivity in a faster and more efficient approach, compared to other vendors on the market. On top, we have a scalable approach in which our customers can provide multi language solutions to their customers, giving A1 Bulgaria the flexibility to add on further languages” says Per Ottosson, CEO of Artificial Solutions.
About A1 Bulgaria
A1, part of A1 Group, is a leading provider of digital services and telecommunication solutions in Bulgaria. The company provides mobile and fixed services, high-speed internet, digital and satellite television, including four own brand sport TV channels – MAX Sport, payment services, ICT, cloud and IoT solutions to 4.8 million clients. In 2020, A1 Bulgaria reported EUR 513.8 million revenue, and the comparable EBITDA is EUR 192.4 million.
A1 Group is a leading telecommunication provider in Central and Eastern Europe with over 27 million customers. A1 Group operates in seven countries: Austria, Bulgaria, Belarus, Croatia, Slovenia, Serbia and North Macedonia. The revenue of A1 Group for 2020 is EUR 4.55 billion, and the comparable EBITDA is EUR 1.58 billion. A1 Group’s portfolio includes voice telephony, high-speed internet and multimedia services, as well as solutions in the field of high technologies, data transfer and online payments. The group has a stable shareholder in América Móvil – one of the largest providers of telecommunications services in the world.
Artificial Solutions strengthens Management Team and Board of Directors.
source
https://www.artificial-solutions.com/blog/artificial-solutions-strengthens-management-team-and-board-of-directors
July 6, 2021
Artificial Solutions® (SSME: ASAI), a leading specialist in Conversational AI, appoints Paloma Ramirez Diaz-Monis as Chief People Officer and member of the management team. Vesna Lindkvist, Chief Product Officer and Chief Technical Officer at Kivra, has been elected to Artificial Solutions´ Board of Directors.
On July 6th, Paloma Ramirez Diaz-Monis will take on the role of Chief People Officer and leave her current role as Head of Human Resources and Organizations. Vesna Lindkvist was elected to the Board at the Annual General Meeting on June 18th.
Vesna Lindkvist has close to 20 years of experience in the software industry and has been CTO/CPO for Kivra for the past three years. She was previously Consultant Manager at Valtech. Vesna holds a master’s degree from KTH.
Åsa Hedin, Chairman of the Board of Artificial Solutions, commented on Vesna Lindkvist’s appointment: “Vesna has a long experience of software companies and software development that will contribute positively to our board work. I am very pleased to have the pleasure of welcoming Vesna and her contribution to the Board of Directors.
“Artificial Solutions has recently made a powerful repositioning to SaaS and has an impressive patent portfolio cited by Microsoft, Apple, Google, Nuance and IBM, among others. I look forward to contributing with my experience to Artificial Solutions’ continued development and growth,” says Vesna Lindkvist.
Artificial Solutions has made progress this year, increasing the number of women in managerial positions. Today, 45% of Artificial Solutions employees are female. Gender balance is a key component of Artificial Solutions’ approach to diversity and inclusion. This is an integral part of the company culture and its values.
Per Ottosson, Artificial Solutions CEO, said: “We believe that a more diverse workforce with more women at the top will reinforce our inclusive culture and make Artificial Solutions an even better company. We know that improving gender balance impacts bottom-line results, leading to better decisions, stronger innovation and higher employee satisfaction.”
Chris Tew has become a channel partner in Asia and has left the Management team, and so has Dave Parsin.
With the announced management changes, the group management team will as of July 2021 consist of Per Ottosson, Fredrik Blomberg, Fredrik Törgren, Daniel Eriksson, Andreas Wieweg, Marie Angselius-Schönbeck and Paloma Ramirez Diaz-Monis.
Four perspectives you shouldn’t miss when selecting a Conversational AI platform – #1 Tool Selection.
source
https://www.artificial-solutions.com/blog/series-four-perspectives-you-shouldnt-miss-when-selecting-a-conversational-ai-platform-1-tool-selection
Businesses are quickly acknowledging the importance of Conversational AI (CAI)
https://www.artificial-solutions.com/conversational-ai-technology
to increase their customer engagement and revenues. The question is no longer whether to deploy CAI, but rather which platform to use and how to leverage its capabilities.
In this series, Daniel Eriksson, Chief Innovation and Customer Success Officer at Artificial Solutions, gives insight on important aspects of a conversational AI platform
https://www.artificial-solutions.com/teneo
that buyers often overlook.
For example:
- What does languages support really mean?
- What is localization?
- How do different deployment models impact the TCO?
And maybe most importantly.
– How can the CAI platform not only help me during the first development sprints – but across the entire bot lifecycle?
Lessons learned to make bot developers more productive.
During the last six months, I’ve had a lot of conversations with companies (clients) and system integrators (partners) who have been building conversational bots. I’ve spoken with conversational bot developers,
https://developers.artificial-solutions.com/
data linguistics reps, integration engineers, conversational designers, project managers, senior stakeholders, product owners and many more.
At the same time, I’ve talked to existing, new, prospective and former clients. These talks included people who had ambitious plans and succeeded, and others who have had plans where they have struggled to generate impact.
One of my goals for these discussions has been to find the answer to the questions:
“How can we as CAI tech provider help you be more productive?”. This is a question we from Artificial Solutions will continue to ask, because the feedback from the bot developer community on our products is key for us in our mission to create products that make bot developers more productive.
However, in these conversations, another topic of discussion arouse that is the focus of this post:
How do companies view their choice of CAI platform today – and what aspects would they recommend other companies to consider when selecting a CAI platform for bot development?
You could argue that this is probably a question best answered by someone who is considered an independent third party – and I fully agree with that. However, this is an issue for which it is worth having an open conversation, so I thought I’d share some of the learnings I took away from those discussions and added some of the learnings we at Artificial Solutions have from our 20+ year in the industry.
If this compilation is useful to you, or think I’ve missed something – don’t hesitate to leave your comments in our forum.
https://community.artificial-solutions.com/
I’ve grouped the insights into four main themes which I think could be useful for companies to think about when reviewing CAI tooling for bot development and will share them in this daily series. These are the “4 perspectives you shouldn’t miss when selecting a Conversational AI platform”:
Let’s run through them one by one. Curious to see if you agree.
1. Select a tool your development team can grow with.
See past the buzz-words like “awareness”, “understanding”, “self-learning”.
Conversational AI is a fascinating space and still holds a lot of potential yet to be explored. Yet most companies who have experience of CAI tooling will tell you it’s all about engineering, and actually has a lot of resemblance to regular software or process flow development instead of being something ground-breaking new.
Sure, there are some terminologies both useful and specific for the space, like “intent recognition”, “entities” and “context”. These words are related to the Natural Language Understanding (NLU) part of a conversational bot.
Don’t get me wrong – those are complex concepts, but the conversational bot developers normally USE these functionalities they don’t develop them themselves. To the conversational bot developer, those types of functionalities are assumed to work and, in all fairness, most tooling support strong intent recognition, it’s more of a commodity functionality today. You can assume a toolkit has a good enough intent engine and move on.
However – be aware if the tooling you are selecting describes features with excessive AI-like buzzwords like “awareness”, “understanding” or “self-learning”. These aren’t wording a developer would use to describe the conversational bot they have developed (unless they are desperate for funding). So, I suggest you try to see past these buzzwords and select a tooling that uses concepts and terminology that better resembles how a developer would look at the world.
Can I be more specific? Sure, I prefer if well-established concepts like local or global variables (variable scope) are referred to as local or global variables rather than “The AI understands and remembers”. Review a tooling from the aspect – is the terminology used familiar to the developers who will use it to build bots.
Find the balance between pure coding & drag-and-drop.
Have you ever heard about low-code, or no-code? In short, those concepts describe a user interface where a developer can configure or graphically design a process instead of having to write programming code. It is a great way to visualize how a program is executed and can be a quick way to build some things rapidly. Here comes the tricky part – for an effective Conversational AI solution with some ambition – you will still need to code. Your team will need to write code in some scripting language. If not, you will not be able to do the things you expect a bot to do. Do not shy away from this fact, the scripting and coding are super important to make a bot great. So, when you look at a toolset, evaluate it from the standpoint “how will the coding part work?”.
On the other hand, if you ONLY write code and never use any graphical representation you will run into another set of problems. How do you collaborate with the business? How do you involve team members with important insights that are needed for a successful bot implementation, but those team members do not read code? This one of the many aspects of why a graphical representation can be very useful.
Therefore, think about what balance between coding and graphical configuration you need. Because most companies need both for their CAI projects.
Consider what limitations you might encounter down the road.
There are a lot of CAI tooling in the market today available to developers. Your job is to make sure that you don’t select a tooling that is quick to build only the first MVP, but also is useful for every new generation of your bot. When your ambitions grow, and your insights on how you can deliver a better bot user experience starts to develop – you might realize that the tool you chose is holding you back.
For each generation of your conversational bot, there are multiple factors which you need to consider. If you build mode processes (and with that more intents) you run into one set of problems. If you want to make your flows more advanced, you run into another need for capabilities in the toolset. That’s when it might be too late to realize the tool is not up for the job.
Try instead to evaluate a toolset from a scenario where you already have a quite extensive bot deployed. With this, try to think about the different tasks you might want to perform now. How do you perform refactoring and release small improvements in parallel? How do you organize all the processes/intents and perform a version control? How do you ensure reusability? What technical features might you want to explore?
Allow for creativity
Strive for greatness. We think great teams build great bots. Make sure you think about and choose a tool with which your engineers can be creative, and iterative with. The same way a good website is continuously updated, with new features tested, explored, expanded, or removed your conversational bot also needs continuous improvements. The freedom to explore, test, release and sometimes sunset ideas are key to unlocking your team’s creativity and ambition. A conversational bot program is no different. Think about what your expert implementors want to do and ensure that they have the capability in the tool to achieve their objective. Great teams build great bots unless the tool holds them back.
Don’t miss out on the following posts in this series to gain key perspectives to consider when selecting a conversational platform.
Artificial Solutions wins order for LUIS ^ Teneo from a global company.
source
https://www.artificial-solutions.com/blog/artificial-solutions-vinner-order-pa-luisteneo-fran-globalt-bolag
July 5, 2021
One of Artificial Solutions' (SSME: ASAI) partners in the United States selects LUIS ^ Teneo
https://www.artificial-solutions.com/ms-luis-teneo
for the company's own sales process and lead generation. The partner is one of North America's largest system integrators, with a special focus on telecom operators. LUIS ^ Teneo combines two market-leading technologies for conversation-based AI, Microsoft's LUIS and Artificial Solutions Teneo, which are operated on Microsoft's cloud platform Azure. "It is a sign of strength that LUIS ^ Teneo is spreading rapidly in different markets," says Per Ottosson, CEO of Artificial Solutions.
Artificial Solutions' revenue comes partly from a monthly fee (Software as Service), and partly through the settlement of how much traffic (API calls) goes through the solution.
The solution for the partner in question took less than two weeks to get in place and has been integrated with Salesforce and the customer's own cloud-based sales support system.
"The project illustrates many of the benefits of LUIS ^ Teneo - easy to customize, easy to integrate, reliable and scalable," says Per Ottosson.
For more information please contact:
Per Ottosson, CEO, Artificial Solutions
Email: per.ottosson@artificial-solutions.com
About Artificial Solutions International AB (publ)
Artificial Solutions ®
https://www.artificial-solutions.com/
(SSME: ASAI)
http://www.nasdaqomxnordic.com/aktier/microsite?Instrument=SSE145803&name=Indentive%20B
is the leading company in conversation-based AI. We enable people to communicate with applications, websites and connected things in everyday, human-like natural languages ??via voice, text, touch or gestures.
Our product, Teneo®, enables organizations, together with developers, to create sophisticated and highly intelligent conversation-based AI solutions in 86 languages ??and dialects across multiple platforms and channels. The ability to analyze and take advantage of huge amounts of conversation data is fully integrated into Teneo, providing unmatched insights into customer behavior.
Artificial Solutions AI technology makes it easy to implement a wide range of conversation-based AI solutions, such as virtual assistants, conversation bots, speech-based conversation interfaces for smart connected things and more. The technology is used daily by millions of people in hundreds of implementations in both the private and public sectors around the world.
For more information, please visit:
https://www.artificial-solutions.com/
AI and the issue of diversity
source
https://www.capacitymedia.com/articles/3828985/ai-and-the-issue-of-diversity
June 30, 2021
We are all familiar with the stories of flawed artificial intelligence technologies in the public sphere as a result of a lack of diversity. But beyond that, how much does AI/automation unknowingly reinforce biases and inequalities in the telecom-tech space? Capacity’s Natalie Bannerman explores.
According to Joris Lechêne, a TikToker and self-professed “nerd” and activist, “automation is never diversity friendly”. His words were sparked by an incident he faced when his passport photographs were rejected by Her Majesty’s Passport Office in the UK because its facial recognition technology failed to identify his features.
Despite accurately following all the rules, according to Lechêne the photo was rejected “because the artificial intelligence software wasn’t designed with people of my phenotype in mind,” adding that, “it tends to get very confused by hairlines that don’t fall along the face and somehow mistake it for the background and it has a habit of thinking that people like me keep our mouths open.”
Though seemingly fairly inconsequential on the surface, he points out that this is only one example of how racial bias is sometimes built into AI and automation software, suggesting that “robots are just as racist as society is”.
“Society is heavily skewed towards whiteness and that creates an unequal system and that unequal system is carried through the algorithm,” explains Lechêne.
His experience aside, this isn’t the only instance of such AI bias. In 2015 software engineer Jacky Alciné discovered that the image recognition algorithms used in Google Photos were classifying his black friends as “Gorillas”. Following that, in 2018 the American Civil Liberties Union found that Amazon’s face surveillance technology incorrectly matched 28 members of Congress – all people of colour – as criminals, based on their headshots. And most recently the National Institute of Standards and Technology in the US released a report which found that when conducting a particular type of database search known as “one-to-one” matching, many facial recognition algorithms falsely identified African-American and Asian faces 10 to 100 times more than Caucasian faces.
“Biases are inherently invisible to those who bear them, so external, diverse and representative voices need to be present before, during and after the development process, so that we can ensure our systems will carry respect, diversity and inclusion forward,” explains Carmen Del Solar, senior conversational AI engineer at Artificial Solutions.
With the increasing use of AI and automation in telecoms spaces, from chatbots and conversational AI to network management and enhancing emerging technologies like 5G, it is important to address these issues of bias at all layers.
But as always, it starts with the data.
“The steps taken within the data governance process are critical to ensuring non-biased and representative outcomes,” said Oded Karev, general manager of NICE Robotic Automation Solutions.
“One such step is ensuring that AI systems are specifically designed to disregard group identities entirely. Robots do not need to consider personal attributes or protected statuses because an individual’s colour, sex, gender, age or other characteristics are irrelevant to the operation of an AI tool and should have no bearing on outcomes.”
According to Louisa Gregory, vice president of culture, change and diversity at Colt Technology Services, the “training data fed to AI systems is often based on historical data collected over a period of time. In many cases, this data contains biases or reflects structural inequality. For example, the data for a recruitment tool could come from CVs spanning the last 15 years, the majority of which is likely to be those of white cis males.”
Another consideration is that the data used in AI programming is not always collected by the data scientists and machine learning practitioners themselves and “therefore they don’t know how it was collected, generated, pre-processed or cleaned,” explains Keeley Crockett, IEEE member and professor in computational intelligence at Manchester Metropolitan University.
“There are also debates as to whether data sets should contain special category data such as gender, ethnicity, religion or biometrics, which could lead to a model which directly discriminates,” she says.
Claire Woodcock, senior manager of machine learning & biometrics at Onfido, points to varied and broadly skilled teams as the answer, saying: “Cross-functional teams with deeply technical specialisms as well as skills in user experience and policy are key to delivering this. Developing AI with a multidisciplinary lens ensures a better user experience as well as improved AI performance.”
Overall, it seems the best approach to this issue is that the data should be seen as a living organism that is constantly growing, changing and, most importantly, being updated to reflect the society we live in.
“The most important thing is to continually review the data,” says Henry Brown, director of data & analytics at Ciklum.
“In science, this can be considered a ‘systematic error’, which takes a huge amount of effort to quantify and rectify. Teams should never just assume their data is unbiased, and should endeavour to critically review the data as much as possible – looking for alternative sources that may help them, at the very least, to verify the integrity of their input data sets, if not entirely augment them.”
Objective decision-making is on one hand what makes AI and automation the epitome of fairness, but on the other hand it is the inability to recognise nuance, account for context and display emotion, which leaves many questioning whether it is best placed for some more human scenarios.
“The ability to communicate naturally (understand context, share a common ground with our interlocutors, ask for clarifications, exert common sense, etc) is one that automated systems have not yet mastered,” explains Del Solar.
“Despite the recent advances in natural language processing (NLP), dialog systems are still not fully automated.”
The solution, according to Crockett, is for businesses to “develop co-creation and co-production strategies with all stakeholders, including the public voice. The involvement of the public in the AI development lifecycle, from conceptualisation to deployment, allows public scrutiny which contributes to building consumer trust.”
Part of the “human factor” also involves evolving AI and automation, to meet the unique and often singular needs of the individual, especially when it comes to delivering the highest levels of customer service. The key could be in using it for manual processes only.
“If customers want better service and more empathetic engagements with a brand, AI can help by automating a lot of the manual, monotonous tasks that take up employees’ time and freeing them up to address those demands directly,” says Karev.
Brown says that monitoring if and why a customer chooses to interact with things like chatbots is crucial to developing the best and most optimal solutions in the long run.
“Continually learning, and providing customers with easy methods of giving feedback. If they are to engage with a chatbot, then businesses must ensure that the customer can quickly be passed on to a human assistant,” he explains.
“We should also log the reasons given by the customer as to why they didn’t want to engage with an AI solution.”
In its report, Fast forward to the past – Is automation making organisations less diverse?, Deloitte found that while intelligent automation can transform work practices, it also creates the risk of reinforcing structural inequality – as it is typically lower-paid jobs comprising routine tasks that are most at risk of being automated.
“Throughout history, industrialisation and technology has affected workers, and AI will be no different. In the long run, when we have adapted and tamed these technologies, societies may very well be better off; but in the short term, certain disadvantaged groups may be worse off as they find it harder to adapt,” says Peter van der Putten, director of decisioning and AI solutions at Pegasystems.
But AI also presents wide-ranging opportunities for some disadvantaged groups – for example, van der Putten believes that new jobs may become more accessible to people with disabilities, through what he calls AI enhanced extensions.
“Ironically, if we want to counter the evil side effects of a technology, we will need to make it our own and democratise it,” he adds.
Taking a slightly more proactive approach, Crockett believes that those who lose jobs through this development should have the opportunity to retrain, reskill and find employment in different fields, because as expected it takes a toll on the mental health and wellbeing of the individual.
“They should also have access to free educational courses to help improve their digital literacy, along with a mentoring scheme to help them develop confidence. It costs money, but we need to provide the most disadvantaged with opportunities, to ensure they are treated equally in society as everyone else.”
As published in Ericsson’s Employing AI techniques to enhance returns on 5G network investments report, 53% of service providers expect to have fully integrated some aspect of AI into their networks by the end of 2020, with a further 19% expecting the same over the next three to five years – making it as relevant as ever to ensure our networks have the correct intent and priorities to best serve its users.
“Technology is neither good nor bad – nor is it neutral, as historian Melvin Kranzberg said – and for AI it is no different. You cannot say that AI algorithms in general are good or evil: the same algorithms that are used to detect cancer could be used for some bad purpose,” explains van der Putten.
In his view, it all boils done to the purpose for which an AI system is built, “Is it built to gather faces of peaceful protesters without their consent? To spam customers with offers that only serve a company, not the customer?”
He says that new AI regulation is on the horizon that will assess all types of factors contributing to building global trust and “enabling responsible use of it for the benefit of not just companies but also customers and citizens”.
While none of us can, or should, want to shy away from progress, it is important that all changes are made with consideration of the needs and concerns of everyone, a process that can only be achieved through an open cycle of collaboration, feedback and communication.
A day in the life of Marie Angselius CIO Artificial Solutions.
https://twitter.com/MarieAngselius
Bulletin from Artificial Solutions 2021 annual general meeting.
source
https://www.investors.artificial-solutions.com/bulletin-from-artificial-solutions-2021-annual-general-meeting
June 18, 2021
Artificial Solutions International AB (the “Company”) has today on 18 June 2021 held its annual general meeting (“AGM”). The AGM resolved on, inter alia, establishment of one incentive program to management and other key employees, not to adopt the main shareholders’ proposal on incentive program to directors, change in the board of directors and an issuance authorization for the board of directors.
Adoption of the income statement and balance sheet.
The AGM adopted the income statement and balance sheet, as well as the consolidated income statement and consolidated balance sheet for the 2020 financial year.
Appropriation of the Company’s result according to the adopted balance sheet.
The AGM resolved that no dividend shall be made for the 2020 financial year and that the net profit for the year shall be carried forward.
Discharge from personal liability.
The AGM granted the directors and the CEO discharge from personal liability for the 2020 financial year.
Board of directors and auditors.
In accordance with the nomination committee’s proposal, the AGM resolved on re-election of directors Åsa Hedin, Johan Ekesiöö, Johan Gustavsson, Fredrik Oweson and Jan Uddenfeldt, and election of Vesna Lindkvist as directors until the end of the next AGM. Åsa Hedin was re-elected as chairperson of the board of directors. It was noted that Bodil Eriksson had declined re-election.
The registered accounting firm Grant Thornton Sweden AB was re-elected as auditor for the time until the end of the next AGM. Grant Thornton Sweden AB has announced that the authorized auditor Carl-Johan Regell will be appointed as auditor in charge.
The AGM resolved that remuneration to the board of directors for the time until the end of the next AGM shall amount to a total of SEK 1,650,000, whereas SEK 450,000 to the chair and SEK 300,000 to each one of the other AGM-elected directors. Fredrik Oweson has chosen to abstain from remuneration. Compensation for work carried out in the board of directors’ committees is included in the remuneration.
The auditor will be paid as per approved invoice.
Incentive Program 2021/2024:1
The AGM resolved, in accordance with the board of directors’ proposal, on establishment of Incentive Program 2021/2024:1 by a) directed issue of warrants to subsidiary and b) approval of transfer of warrants to management and other key employees of the Company or its subsidiaries. The subscription price of shares when exercising the warrants corresponds to 120 per cent of the volume-weighted average price for the Company’s share on Nasdaq First North Growth Market from 31 May 2021 to 11 June 2021. Each warrant confers the holder a right to subscribe for one (1) new share in the Company and may be exercised during the period from 1 July 2024 to 15 October 2024. Provided that the warrants are fully exercised, the Company’s share capital can increase with a maximum of SEK 3,620,845.87, corresponding to a maximum of about 3.17 per cent of the current number of shares and votes in the Company.
Incentive Program 2021/2024:2
The main shareholders’ proposal on establishment of Incentive Program 2021/2024:2 by a) directed issue of warrants to subsidiary and b) approval of transfer of warrants to directors of the Company was not approved, as the resolution did not acquire the required majority of votes.
Issuance authorization
The AGM resolved, in accordance with the board of directors’ proposal, to authorize the board of directors to, within the framework of the articles of association that apply when the board uses the authorization, until the next AGM, on one or more occasions, with or without deviation from the shareholders’ pre-emptive rights, resolve on an increase of the Company’s share capital by issuing shares, warrants and/or convertible instruments. The total number of shares covered by such issues may correspond to a maximum of ten per cent of the shares in the Company, based on the total number of shares in the Company at the time of the first resolution by the board under this authorization.
Nomination committee
The AGM resolved, in accordance with the nomination committee’s proposal, that the Company shall have a nomination committee consisting of four members. The nomination committee shall consist of one member from each one of the three largest shareholders or groups of owners in terms of voting rights as of 30 September, along with the chair of the board of directors. The AGM adopted the proposed instruction for the nomination committee.
For further information, please contact:
Per Ottosson, CEO, Artificial Solutions
E-mail: per.ottosson@artificial-solutions.com
About Artificial Solutions
Artificial Solutions® (SSME:ASAI) is the leading specialist in Conversational AI. We enablecommunication with applications, websites and devices in everyday, humanlike natural language via voice, text, touch or gesture input.
Artificial Solutions’ advanced conversational AI Teneo®, allows business users and developers to create sophisticated, highly intelligent applications that run across 86 languages and dialects, multiple platforms and channels in record time. The ability to analyse and make use of the enormous quantities of conversational data is fully integrated within Teneo, delivering unprecedented levels of data insight that reveal what customers are truly thinking.
Artificial Solutions’ conversational AI technology makes it easy to implement a wide range of natural language applications such as virtual assistants, conversational bots, speech-based conversational UIs for smart devices and more. It is already used daily by millions of people across hundreds of private and public sector deployments worldwide.
Artificial Solutions International is listed on Nasdaq First North Growth Market in Stockholm with short name ASAI. Erik Penser Bank is the Company’s Certified Adviser (www.penser.se, tel +46 (0) 8-463 83 00, e-mail certifiedadviser@penser.se).
For more information, please visit
https://www.investors.artificial-solutions.com/
Artificial Solutions partners with the Conversation Design Institute.
source
https://www.artificial-solutions.com/blog/artificial-solutions-partners-with-the-conversation-design-institute
June 9, 2021
Artificial Solutions® (SSME:ASAI),
https://finance.yahoo.com/quote/ASAI.ST/
the leading specialist in Conversational AI,
https://www.artificial-solutions.com/conversational-ai
today announced a partnership agreement with the Conversation Design Institute who offers courses, certification, and consultancy around Conversational AI, used by brands like Vodafone, JP Morgan, Booking, ABN AMRO, and many others.
The Conversation Design Institute will use Teneo®, Artificial Solutions award-winning conversational AI development platform, as a key component to its clients.
Conversation Design Institute’s mission is two-fold. On one hand it seeks to create alignment in the industry around terminology and workflow. On the other hand, it seeks to train and certify non-engineers to help organizations develop proper chatbots and voice assistants as well as to advise enterprises in their CAI strategy.
“Every organization is looking to automate 85% of their interactions with conversational AI technology,” says founder Hans van Dam of the Conversation Design Institute.
Teneo delivers everything an organisation needs to quickly build advanced conversational AI applications running on any channel. A key component in digital transformation, Teneo allows end-users to interact with technology more easily by simply asking for what they want to achieve, while enabling businesses to automate resource intensive and complex tasks.
We are excited to partner with the Conversation Design Institute; their energy, and vision of the feature of Conversational AI will allow us to push the boundaries of what is currently expected from state-of-the-art chatbots and voice bots implementations even further,” said Mykola Sochynskyi, Sales Director at Artificial Solutions. “Our first joint project will take place on the 15th of June at the Conversation Design Festival, by the Conversation Design Institute Foundation. At the festival, AI Trainers, Conversation Designers, and Conversational Copywriters will share their learning journeys and enterprise experiences”.
To learn more about the Conversational Design Festival, visit:
https://www.eventbrite.nl/e/conversation-design-festival-tickets-149833759809
About Conversational Design Institute:
Conversation Design Institute is the world’s leading training and certification institute for creating human-centric AI Assistants. The Amsterdam based company was founded in 2018 and works with enterprises around the world. Its human-centric workflow helps teams create AI Assistants that deliver value for both people and the business. Whether you are starting your first chatbot project or are handling a million conversations per day, this proven workflow will help you increase cognition, completion, and satisfaction scores.
Sweepstake: Win a free ticket to the Conversational Design Festival!
source
https://www.artificial-solutions.com/blog/sweepstake-win-a-free-ticket-to-the-conversational-design-festival
June 7, 2021
Fill out the form below and you will automatically enter our sweepstake to win one of the 50 tickets we have available to give away. We will close the entries on Friday 11th of June, 2021 at 5pm CET; the winners will be picked randomly and the results will be communicated to all participants afterwards.
Artificial Solutions is a proud sponsor of the Conversational Design Festival
https://www.eventbrite.nl/e/conversation-design-festival-tickets-149833759809
that’s scheduled to take place online on June 15th, 2021. The event, organized by the Conversational Design Institute,
https://www.conversationdesigninstitute.com/blog
will bring together AI Trainers, Conversation Designers, Conversational Copywriters, and companies that have implemented Conversational AI solutions or are starting their development journey. Attendees will get practical advice on deploying, designing, and optimizing AI Assistants like chatbots and voice assistants.
If this sounds like an event that you would like to attend, we want to help you! That is why we have prepared this sweepstake.
Make sure you share this post through social media with your contacts so they can try their luck too!
If you have any questions or have any problems joining the raffle, please get in touch with us via as-marketing@artificial-solutions.com.
Annual_Report_2020_ENG_Final.pdf
source
https://www.investors.artificial-solutions.com/wp-content/uploads/Annual_Report_2020_ENG_Final.pdf
Artificial Solutions further expands its Conversational AI platform reach to 86 languages.
source
https://www.artificial-solutions.com/blog/artificial-solutions-further-expands-its-conversational-ai-platform-reach-to-86-languages
May 25, 2021
Artificial Solutions today announced support for two additional languages, Korean and Albanian, to the already supported 84 languages, further expanding the company’s global footprint.
With the company’s built-in language support covering close to 40% of the world’s population, the Conversational AI platform can deliver assistance in multiple languages to audiences worldwide.
Artificial Solutions provides the most extensive conversational AI language solution in the market.
“Our technology can deliver solutions in languages that haven’t been catered to before, and our approach is to continue localizing top-level solutions to eliminate the need to rebuild bots whenever an enterprise wants to expand its reach”, said Andreas Wieweg, CTO at Artificial Solutions.
The two additional languages, Albanian and Korean, are now added to an extensive catalogue that include – Afrikaans, Amharic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bosnian, Bulgarian, Catalan, Chinese (Mandarin), Croatian, Czech, Danish, Dutch, English, Esperanto, Estonian, Ewe, Faroese, Finnish, French, Galician, German, Greek, Georgian, Gujarati, Hindi, Hungarian, Icelandic, Indonesian, Italian, Igbo, Irish, Japanese, Latvian, Kazakh, Kinyarwanda, Kirundi, Kyrgyz, Lithuanian, Luxembourgish, Macedonian, Malay, Malagasy, Maltese, Marathi, Mongolian, Nepali, Norwegian, Odia, Oromo, Papiamento, Polish, Portuguese, Quechuan, Romansh, Romanian, Russian, Sámi, Sango, Scottish Gaelic, Shona, Sinhala, Somali, Swahili, Swazi, Serbian, Slovak, Slovene, Spanish, Swedish, Turkish, Tigrinya, Tsonga, Tswana, Turkmen, Ukrainian, Uzbek, Vietnamese, Welsh, West Frisian, Yoruba and Zulu.
The platform also caters for regional differences and different writing scripts. Examples of this include the different spelling variations between UK and US English, the differences in vocabulary and grammar for Brazilian and European Portuguese, and the different Japanese writing systems.
NOTICE OF ANNUAL GENERAL MEETING IN ARTIFICIAL SOLUTIONS INTERNATIONAL AB (PUBL).
source
https://www.investors.artificial-solutions.com/notice-of-annual-general-meeting-in-artificial-solutions-international-ab-publ
May 20, 2021
The shareholders of Artificial Solutions International AB (publ), reg. no. 556840-2076, (the “Company”) are hereby invited to the annual general meeting (the “AGM”) on Friday 18 June 2021.
Due to the continued spread of the coronavirus and the authorities’ regulations/advice on avoiding public gatherings in order to reduce the risk of infection spreading, the board of directors has resolved that the AGM will be held without physical presence of shareholders, proxies or external parties and that shareholder only can exercise their voting rights by advance voting in accordance with the procedure prescribed below. Information on the resolutions passed at the AGM will be published on Friday 18 June 2021, as soon as the result of the voting has been finally confirmed.
Participation and notification of attendance
Shareholders who wish to participate in the AGM by advanced voting must:
- Bbe registered in the share register kept by Euroclear Sweden AB on Thursday 10 June 2021, and
- give notice of their intention to participate by submitting their advance vote in accordance with the instructions under the heading Advance voting below, so that the advance vote is received by the Company, through Computershare AB, no later than Thursday 17 June 2021.
Nominee registered shares
For shareholders who have their shares nominee-registered through a bank or other nominee, the following applies in order to be entitled to participate in the meeting. In addition to giving notice of participation by submitting its advance vote, such shareholder must re-register its shares in its own name so that the shareholder is registered in the share register kept by Euroclear Sweden AB as of the record date Thursday 10 June 2021. Such re-registration may be temporary (so-called voting rights registration). Shareholders who wish to register their shares in their own names must, in accordance with the respective nominee’s routines, request that the nominee make such registration. Voting rights registration that have been requested by the shareholder at such time that the registration has been completed by the nominee no later than Monday 14 May 2021 will be taken into account in the preparation of the share register.
Advance voting
The shareholders may only exercise their voting rights at the AGM by voting in advance, so-called postal voting, in accordance with Section 22 of the Act (2020:198) on temporary exceptions to facilitate the execution of general meetings in companies and other associations.
A special form must be used for the advance vote. The form is available on the Company’s website
https://www.artificial-solutions.com/
and can also be sent by mail to shareholders at the request by telephone no 0771-24 64 00. Submission of the advance voting form in accordance with the below will be considered as notice of attendance.
Completed and signed forms for advance voting shall be sent by mail to Computershare AB, attention: ”Artificial Solutions International AB’s AGM”, Box 5267, 102 46 Stockholm and must be received by Computershare AB on Thursday 17 June 2021 at the latest. The advance voting form may also be submitted electronically. Electronic submission can be made either through verification through BankID in accordance with instructions at the Company’s website
https://www.artificial-solutions.com/
or by sending the completed advance voting form by e-mail to
info@computershare.se
together with power of attorney and other documentation of authority. The Shareholders may not provide special instructions or conditions to the advance vote. If so, the entire advance vote is invalid. Further found in the advance voting form.
Proxy
If the shareholders submit a advance vote by proxy, a power of attorney must be attached to the form. Proxy form for shareholders who wish to advance vote by proxy is available at the Company’s website,
https://www.artificial-solutions.com/
If the shareholder is a legal entity, a certificate of registration or corresponding authorisation documents must be attached to the form.
Proposed agenda
Please read the following at:
https://www.investors.artificial-solutions.com/notice-of-annual-general-meeting-in-artificial-solutions-international-ab-publ
Artificial Solutions CEO accepted into Forbes Technology Council.
source
May 18, 2021
Forbes Technology Council is an Invitation-Only Community for World-Class CIOs, CTOs, and Technology Executives.
Per Ottosson, CEO at Artificial Solutions, has been accepted into Forbes Technology Council, an invitation-only community for world-class CIOs, CTOs, and technology executives.
Per Ottosson was vetted and selected by a review committee based on the depth and diversity of his experience. Criteria for acceptance include a track record of successfully impacting business growth metrics, as well as personal and professional achievements and honors.
“We are honored to welcome Per Ottosson into the community,” said Scott Gerber, founder of Forbes Councils, the collective that includes Forbes Technology Council. “Our mission with Forbes Councils is to bring together proven leaders from every industry, creating a curated, social capital-driven network that helps every member grow professionally and make an even greater impact on the business world.”
As an accepted member of the Council, Per has access to a variety of exclusive opportunities designed to help him reach peak professional influence. He will connect and collaborate with other respected local leaders in a private forum. Per will also be invited to work with a professional editorial team to share his expert insights in original business articles on Forbes.com, and to contribute to published Q&A panels alongside other experts.
Finally, Per will benefit from exclusive access to vetted business service partners, membership-branded marketing collateral, and the high-touch support of the Forbes Councils member concierge team.
“It is an honor to be associated with the group of technology leaders who make up the Forbes Technology Council”, said Per Ottosson. “The importance of community and collaboration is key to develop robust relationships and smarter solutions. I am happy to share ideas and learn from other Council Members and to leverage the expertise and business leadership that is synonymous with Forbes to further strengthen our position in the Conversational AI market.”
ABOUT FORBES COUNCILS
Forbes Councils is a collective of invitation-only communities created in partnership with Forbes and the expert community builders who founded Young Entrepreneur Council (YEC). In Forbes Councils, exceptional business owners and leaders come together with the people and resources that can help them thrive.
For more information about Forbes Technology Council, visit
https://councils.forbes.com/forbestechcouncil
To learn more about Forbes Councils, visit
https://councils.forbes.com/
ABOUT ARTIFICIAL SOLUTIONS
Artificial Solutions® (SSME:ASAI)
is the leading specialist in Conversational AI. They enable communication with applications, websites and devices in everyday, humanlike natural language via voice, text, touch or gesture input.
http://www.nasdaqomxnordic.com/aktier/microsite?Instrument=SSE145803&name=Indentive%20B
Artificial Solutions’ advanced conversational AI Teneo®, allows business users and developers to create sophisticated, highly intelligent applications that run across 84 languages and dialects, multiple platforms and channels in record time. The ability to analyse and make use of the enormous quantities of conversational data is fully integrated within Teneo, delivering unprecedented levels of data insight that reveal what customers are truly thinking.
Artificial Solutions’ conversational AI technology makes it easy to implement a wide range of natural language applications such as virtual assistants, conversational bots, speech-based conversational UIs for smart devices and more. It is already used daily by millions of people across hundreds of private and public sector deployments worldwide.
Artificial Solutions carries out a directed new share issue of 14,117,647 shares, thereby raising proceeds of approximately SEK 120 million.
May 6, 2021
NOT FOR RELEASE, PUBLICATION OR DISTRIBUTION IN WHOLE OR IN PART, DIRECTLY OR INDIRECTLY, IN OR INTO THE UNITED STATES, AUSTRALIA, CANADA, NEW ZEALAND, HONG KONG, JAPAN, SINGAPORE, SOUTH AFRICA, SOUTH KOREA OR ANY OTHER JURISDICTION WHERE DISTRIBUTION OF THIS PRESS RELEASE WOULD BE UNLAWFUL OR WOULD REQUIRE REGISTRATION OR ANY OTHER MEASURES PURSUANT TO APPLICABLE LAW.
Please read the full article at:
https://www.investors.artificial-solutions.com/artificial-solutions-carries-out-a-directed-new-share-issue-of-14117647-shares-thereby-raising-proceeds-of-approximately-sek-120-million
FULL REPORT Analysis from Hardman & Co.
sources
https://www.hardmanandco.com/research/corporate-research/customer-acquisition-acceleration-in-prospect/
https://www.investors.artificial-solutions.com/wp-content/uploads/210503-Hardman-Artificial-Solutions-Customer-acquisition-acceleration-in-prospect.pdf
03 MAY 2021
Artificial Solutions - Customer acquisition acceleration in prospect - CORPORATE RESEARCH.
By Milan Radia
The arrival of the new CEO, Per Ottosson, and the new CFO, Fredrik Törgren, was accompanied by a series of strategic decisions seeking to accelerate new customer acquisition and significantly reduce costs. The strategic shift away from professional services was fully executed as part of the restructuring. 1Q’21 results and management commentary confirm a positive market response to the new recurring revenue model, especially the significant signed contracts and further prospective wins. The company’s technology remains market-leading at a time when enterprises are emphatically seeking to automate business processes.
- Our updated revenue forecasts post 1Q’21 results suggest strong growth ahead. The announcement of contract wins with a large US tech company and Telefónica Deutschland/O2 under the new model are highly positive indicators, especially given the scope for high transaction volumes from each.
- The Cloud version of the core AI chatbot platform, Teneo, is built on Microsoft Azure and is designed to work seamlessly alongside the Microsoft suite of cognitive services tools. Adding a sophisticated chatbot platform to Microsoft LUIS and selling this in the Azure Marketplace should unlock customer wins.
- The transition from upfront licences to recurring revenue would typically imply a period of flat revenue as revenue from new deals is deferred. However, a number of existing customers are busy expanding their deployments, in turn generating usage revenue growth; this momentum will support FY’21 revenue.
- The path to breakeven for the business is now clearer, following a series of measures to remove unproductive operations and streamline headcount, which has been reduced from ca.113 at end-2019 to ca.70. We forecast EBITDA breakeven in FY’22 followed by strong EBITDA margin expansion in FY’23.
- Investment summary: Artificial Solutions has demonstrated technology leadership by the major deployments achieved to date combined with a long list of tier systems integrators, which have tested and approved the Teneo platform. The company continues to trade at a significant discount to the value of its patent portfolio of ca.$140m. Our DCF model suggests a fair value market value of €160m (SEK1,620m) compared with the current market value of €48m (SEK490m).
SEE THE FULL REPORT AT:
https://www.investors.artificial-solutions.com/wp-content/uploads/210503-Hardman-Artificial-Solutions-Customer-acquisition-acceleration-in-prospect.pdf
Artificial Solutions’ new revenue and business model highlighted in analysis from Hardman & Co.
source
https://www.artificial-solutions.com/blog/artificial-solutions-new-revenue-and-business-model-highlighted-in-analysis-from-hardman-co
May 5, 2021
Artificial Solutions® (SSME:ASAI),
http://www.nasdaqomxnordic.com/aktier/microsite?Instrument=SSE145803&name=Indentive%20B
the leading specialist in Conversational AI,
https://www.artificial-solutions.com/conversational-ai
today announced the publication of a company analysis by Hardman and Co, at the request of Artificial Solutions. The report confirms a positive market response to the new recurring revenue model and provide an analysis of key milestones, including the patent portfolio, the demonstrated technology leadership, the roadmap to accelerated new customer acquisitions and significant cost reductions.
The report highlighted the company’s signed contracts, such as the recent agreement with one of the world´s largest telecom operators, and the current panorama where enterprises are seeking to automate business processes, as an indicator that Artificial Solution’s technology remains market leading.
“We welcome the comments in this Hardman & Co analysis and are happy that the changes and new propositions we are introducing have been recognised,” says Per Ottosson, CEO at Artificial Solutions. “There is a growing trend for faster, more scalable automation processes, and simultaneously more companies are embracing SaaS services as the most efficient way to deploy conversational AI solutions. We aspire to be at the forefront of this new approach.”
The Hardman & Co analysis examined also Artificial Solutions’ LUIS^Teneo
https://www.artificial-solutions.com/ms-luis-teneo
proposition, combining Teneo with Microsoft LUIS in the Azure Marketplace, as a move that “should unlock customer wins”.
In its analysis, the report describes the company’s change in approach under the current management team, and its intention to operate as an innovative and agile software-as-a-service (SaaS) business, with a non-hierarchal structure, new pricing model and a focus on expanding the customer base, as “emphatic”.
Artificial Solutions’ conversational AI platform, Teneo ®,
https://www.artificial-solutions.com/teneo
is designed for enterprise use. The award-winning platform allows business users and developers to collaborate on creating sophisticated, highly intelligent applications that run across more than 84 languages, multiple platforms and channels in record time.
In February 2021, Artificial Solutions announced the launch of LUIS^Teneo, the runtime and development environment running on Microsoft Azure. “LUIS^Teneo offers a more advanced developer environment,and allows bots to be built with relative ease compared with alternative options with the benefit of Teneo’s proven scalability at the level required by global requires,” the report explains.
For more information and to read the full report please visit:
https://www.investors.artificial-solutions.com/analysts#1548416598722-2c82ba32-9b6d
Artificial Solutions and Telefónica Deutschland / O2 Sign Conversational AI Agreement.
source
https://www.artificial-solutions.com/blog/artificial-solutions-and-telefonica-deutschland-o2-sign-conversational-ai-agreement
April 30, 2021
Artificial Solutions® (SSME: ASAI),
http://www.nasdaqomxnordic.com/aktier/microsite?Instrument=SSE145803&name=Indentive%20B
the leading specialist in Conversational AI
https://www.artificial-solutions.com/conversational-ai
(CAI) for the enterprise, today announced that Telefónica Deutschland / O2, one of the leading integrated telecommunications providers in Germany, have penned a new three year Conversational AI deal for the German market.
Artificial Solutions will provide it’s cloud-based integrated development environment for Microsoft LUIS’ customers, LUIS^Teneo.
Telefónica Deutschland / O2 will initially cater for German and Turkish and has the possibility to expand its reach, as LUIS^Teneo has the functionality to add further languages as you go.
Per Ottosson, Artificial Solutions’ CEO said, “We are honored that Telefónica Deutschland / O2 has selected Artificial Solutions Conversational AI platform for the German market.”
About Telefónica Deutschland / O2:
Telefónica Deutschland offers telecommunications services for private and business customers as well as innovative digital products and services in the fields of the Internet of Things and data analytics. The company is one of the leading integrated telecommunications providers in Germany. In mobile communications alone, Telefónica Deutschland / o2 serves more than 42.9 million mobile lines (excluding M2M – as of December 31, 2020). No other German network operator connects more people. Under its core brand o2 and various secondary and partner brands, the company sells postpaid and prepaid mobile communications products with innovative mobile data services. The basis for this is the mobile communications network based on a highly resilient GSM, UMTS and LTE infrastructure. At the same time, the company is building a powerful and energy-efficient 5G network. Telefónica Deutschland also provides telephony and high-speed internet products based on various technologies in the fixed-network field. Telefónica Deutschland Holding AG has been listed in the Prime Standard segment of the Frankfurt Stock Exchange (TecDAX) since 2012. In the 2020 financial year, the company generated revenue of EUR 7.5 billion with approx. 8,200 employees. The company is majority-owned by the Spanish telecommunications group Telefónica S.A., headquartered in Madrid. With business activities in 12 countries and a customer base of around 345 million connections, the group is one of the largest telecommunications providers in the world.
About LUIS^Teneo:
LUIS^Teneo is a powerful and user-friendly developer and run time environment for Conversational AI (CAI) that combines MS LUIS’ intent recognition APIs with Artificial Solutions’ intellectual property and linguistic approach. Based on developer feedback, it is explicitly designed to increase the productivity of organizations who build Conversational bots, allowing them to easily build, maintain, and scale enterprise-grade solutions, no matter the size or scope of their project.
LUIS^Teneo aims to be the most efficient tooling to use across the entire Conversational bot lifecycle. Proficient builder teams can speed up development and deployment; they can effortlessly go from Rapid-Prototyping to production to maintenance and continuous improvement. Our goal is that our clients can have the most technical, low risk, and resource efficient, conversational bot projects so that they can collaborate across their company and free up time for innovative implementation.
With LUIS^Teneo, it is easy to add up to 84 new languages and reuse the knowledge you build across different regions and use cases. Its Cloud architecture and SaaS-based offering makes it easier for companies to start small, and then scale their solutions for high volumes and across multiple channels & languages. LUIS^Teneo also connects to all major systems through over 20 channel, front and back-end connectors.Teneo provides an extension of MS LUIS’ intent recognition engine with Artificial Solutions intellectual property and linguistic approach.
This disclosure contains information that Artificial Solutions International AB is obliged to make public pursuant to the EU Market Abuse Regulation (EU nr 596/2014). The information was submitted for publication, through the agency of the contact person, on 30-04-2021 14:33 CET.
For further information:
Per Ottosson, CEO, Artificial Solutions
Email: per.ottosson@artificial-solutions.com
About Artificial Solutions
Artificial Solutions® (SSME:ASAI) is the leading specialist in Conversational AI. We enable communication with applications, websites and devices in everyday, humanlike natural language via voice, text, touch or gesture input.
Artificial Solutions’ advanced conversational AI Teneo®, allows business users and developers to create sophisticated, highly intelligent applications that run across 84 languages and dialects, multiple platforms and channels in record time. The ability to analyse and make use of the enormous quantities of conversational data is fully integrated within Teneo, delivering unprecedented levels of data insight that reveal what customers are truly thinking.
Artificial Solutions’ conversational AI technology makes it easy to implement a wide range of natural language applications such as virtual assistants, conversational bots, speech-based conversational UIs for smart devices and more. It is already used daily by millions of people across hundreds of private and public sector deployments worldwide.
For more information, please visit
https://www.artificial-solutions.com/
Artificial Solutions International is listed on Nasdaq First North Growth Market in Stockholm with short name ASAI. Erik Penser Bank is the Company’s Certified Adviser (https://www.penser.se/, tfn +46 (0) 8-463 83 00, e-post certifiedadviser@penser.se).
QUARTERLY REPORT JANUARY TO MARCH 2021.
source
https://www.investors.artificial-solutions.com/quarterly-report-january-to-march-2021
April 27, 2021
IMPORTANT CUSTOMER WIN WITH NEW SAAS BUSINESS MODEL JANUARY TO MARCH 2021
- Net sales amounted to 9.8 MSEK (15.3).
- Net sales adjusted*[1] amounted to 12.2 MSEK (12.9).
- Recurring revenues adjusted* amounted to 9.0 MSEK (7.7).
- Rolling 12 months recurring revenues adjusted* amounted to 34.7 MSEK (28.1).
- Usage revenues adjusted* amounted to 4.3 MSEK (1.5).
- Gross margin increased to 72% (60).
- EBITDA adjusted amounted to -13.3 MSEK (-25.1).
- Earnings per share amounted to -0.2 SEK (-0.7).
EVENTS DURING THE QUARTER
- Artificial Solutions recognized and selected as Microsoft Co-Sell Partner.
- ISG nominated Artificial Solutions as a Leader in Intelligent Automation – Solutions and Services for Conversational AI.
- Customers Banco BPM, Widiba and Monte dei Paschi in the banking industry extended their commitments with Teneo.
- Artificial Solutions reduces annual operating run rate expenses from 178 MSEK to 105 MSEK – a 41% decrease.
EVENTS AFTER THE QUARTER
- Strategically important SaaS deal with initial annual revenue value of 0.7 MSEK with large multinational US Tech company. Projected Year three ARR of 6.2 MSEK.
- Gartner highlighted Artificial Solutions as an Innovator for Conversational AI
- Teneo Platform now supports 84 official languages – most covered languages in the market.
- Appointment of Marie Angselius Schönbeck as Chief Communication and Impact Officer
KEY FIGURES
(For definitions please see page 17 * for adjusted revenues clarification on pages 4-5)
MSEK JAN-MAR 2021 JAN-MAR 2020 JAN-DEC 2020
Net sales adjusted* 12.2 12.9 46.8
Recurring revenues adjusted* 9.0 7.7 33.5
Rolling 12 months recurring revenues adjusted* 34.7 28.1 33.5
Usage revenues adjusted* 4.3 1.5 10.0
Net sales reported 9.8 15.3 53.8
Gross margin % 72% 60% 66%
Adjusted EBITDA -13.3 -25.1 -78.3
Earnings per share, SEK -0.2 -0.7 -3.2
Cash flow from Operations -15.5 -18.3 -75.9
[1] The company has recalculated its Usage revenues to be aligned with the new SaaS model’s “pay as you consume” principles. Please see pages 4-5 for adjusted revenues clarification.
CEO STATEMENT
We entered the first quarter 2021 with a new business and delivery model, and we are now a SaaS company delivering value in the Microsoft ecosystem. We added new functionality to our Conversational AI development platform making it the most extensive Conversational AI platform in the market. In the quarter, we continued to expand our footprint with existing customers and right after the quarter close, we won our second SaaS customer, a strategically very important customer.
At the beginning of the first quarter, Artificial Solutions presented LUIS^Teneo, a SaaS-based development suite and bot engine using Microsoft LUIS. LUIS^Teneo allows enterprises to build, scale and maintain LUIS-based bots with fewer resources improving conversational bot ROI and quality.
Shortly thereafter, we became a co-sell partner to Microsoft and launched Teneo, our Conversational AI development platform, in the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure.
During the quarter, we announced support for 48 additional languages to Teneo, making it the most extensive Conversational AI language solution in the market. We estimate that the built-in language support in the platform covers close to 40% of the world’s population. The platform now supports 84 official languages.
After the quarter close, we announced that a large North American Tech company has signed an agreement to integrate our Conversational AI technology to elevate its customer experience. The total revenue is determined by use, API-calls, over time. The client has the potential of generating ARR of 6.2 MSEK in year 3. The solution supports both chat and voice and will be delivered on Microsoft’s cloud platform Azure. The deal also validates our technology and our new SaaS business and delivery model.
New Strategy Recognized by Leading Analysts
We have been recognized as leader with our LUIS^Teneo offering by the global research firms Gartner and ISG.
Gartner, the leading analyst firm in the IT Industry, has recognized the company as an Innovator in Conversational AI in the Gartner report ‘Emerging Technologies: Tech Innovators in Conversational AI and Virtual Assistants’. The report highlighted Artificial Solutions’ strategy towards a modular and open platform and the recent launch of our LUIS ^ Teneo offering.
ISG is a renowned technology research and advisory firm. The 2020 ISG Provider Lens recognized Artificial Solutions’ AI software solutions through its platform Teneo, and its outstanding ability for developers to build conversational AI apps. Teneo does more than leverage machine learning (ML) or linguistic approaches alone, by taking a hybrid approach that provides a meaningful context for regular linguistic actions.
Go to Market
We are driving our pipeline building based on three pillars:
1. Our customers find us and download our software on our developer’s site. To support this, we added features to make our software easier to use and we made the signup process easy and free. We also remade our documentation and made it easily accessible to the developers.
2. In our outbound efforts we have developed campaigns that started going live towards the end of Q1.
Our Direct Sales organization is focused on making sure our existing customers continue to grow and to work on the larger, strategic opportunities we have defined.
3. These three pillars are coming together and after the quarter-end we inked our first strategic deal, and we are building a promising pipeline for the rest of the year.
High Activity in M&A – Consolidation to Continue
I wanted to take the opportunity to comment on Microsoft’s acquisition of Nuance and Nordic Capital entering the Conversational AI market. The interest in Natural Language solutions and our strategy increased with Microsoft’s announcement of a 19.7 BUSD acquisition of Nuance. Microsoft has stated that its focus is on expanding cloud-based services in Healthcare. Due to compliance and regulations, much of US Healthcare is still run in old on-prem IT-infrastructure. This opens up a large market for Microsoft, where competing ecosystems like Apple and Google have focused on B2C – Microsoft now gets the doctors as customers and can build a B2B presence.
Nuance’s revenues rely on producing journals from Natural Language interactions between doctors and patients, and their technology is not mentioned by Microsoft. As their customers will likely need to migrate to Azure-based solutions, LUIS^Teneo can make that migration easier as all needed integrations are ready made and conversations can be imported. It is not expected by any analysts that Nuance will have any negative effect on the platform-based model of Artificial Solutions.
Leading European private equity firm, Nordic Capital, also entered the Conversational AI market with the growth investment of 1 BNOK in Norwegian company Boost.ai in the first quarter of 2021. My view is that the consolidation will continue to materialize in the industry, and this is just the beginning.
Adding Marketing Competence to Our World-Class Management Team.
It is my pleasure to announce that we are further strengthening our world-class management team with the appointed of our new Chief Impact Officer Marie Angselius who started right at the beginning of Q2. Marie comes from IPsoft (now Amelia) and brings a deep experience of market communication in our industry.
With Marie onboard, we have a solid management team in place with highly relevant expertise from building and scaling SaaS companies that will accelerate Artificial Solutions growth journey.
Cost Base Reset and Aligned with New Strategy
As communicated in the Q4 2020 interim report, we have changed the company’s internal organization and structure to align our operations with our new business and delivery model. This work has been executed on plan and has been well-received internally as well as externally by customers, suppliers, and shareholders.
In the first quarter of 2021, we reported operating expenses of 26.3 MSEK compared with 44.4 MSEK in the same period 2020, a reduction of 41 %. With this cost base, we also meet our guidance to report annual run-rate operating expenses of 105 MSEK in the first quarter of 2021. This reset of our cost base enables the company to continue the business financed from operations or increase the investment pace to follow the market.
Technology Multiplying the Power of Conversational AI
Artificial Solutions’ technology speeds up the development of advanced solutions for conversational AI, regardless of platform. Solutions based on our technology have higher scalability, a more significant number of languages and larger transaction volumes. With the strong development team that makes this possible we have a real opportunity to establish ourselves as an accelerator with leading players in conversational AI, including Microsoft.
Our technology can scale from a simple chatbot to handle hundreds of thousands of sessions every day in different languages. This can also be applied horizontally, which opens an even larger market. With one of the most technologically advanced platforms on the market, our SaaS-based model will help our customers become productive and competitive. The team at Artificial Solutions will accelerate the growth that Teneo deserves.
We believe we have a strong foundation for the future. We can see this in the increased number of customer discussions we are involved in, and we are very happy that one of the strategic deals we have identified was closed right after the closing of the first quarter.
Per Ottosson, CEO
This disclosure contains information that Artificial Solutions International AB is obliged to make public pursuant to the EU Market Abuse Regulation (EU nr 596/2014). The information was submitted for publication, through the agency of the contact person, on 27-04-2021 07:30 CET.
For further information:
Per Ottosson, CEO, Artificial Solutions
Email: per.ottosson@artificial-solutions.com
Artificial Solutions Recognized in 2021 Gartner ‘Emerging Technologies: Tech Innovators in Conversational AI and Virtual Assistants’ Report.
source
https://www.artificial-solutions.com/blog/artificial-solutions-recognized-in-2021-gartner-emerging-technologies-tech-innovators-in-conversational-ai-and-virtual-assistants-report
April 22, 2021
https://www.gartner.com/en
Artificial Solutions® (SSME:ASAI),
http://www.nasdaqomxnordic.com/aktier/microsite?Instrument=SSE145803&name=Indentive%20B
the leading technology provider in enterprise Conversational AI announced today that Gartner, the leading research and advisory firm, has recognized the company as an Innovator in Conversational AI in the Gartner report ‘Emerging Technologies: Tech Innovators in Conversational AI and Virtual Assistants’
https://www.gartner.com/en/documents/3995314/emerging-technologies-tech-innovators-in-conversational-
The Gartner report, which includes one of Artificial Solution’s clients, delivers advice on how “Innovations in NLT, the proliferation of virtual assistants, and increasing usage of neural machine translation will transform business, social and human-machine interactions over the next two years.” Among the key findings, the report states that “New NLP techniques, like Transformer-based language models, context models and tighter integration with business back-end systems will allow for more sustained and complex conversations; Digital employees represent the next advancement stage of virtual assistants that include capabilities around emotional AI, synthetic voice and humanlike content switching; and Real-time neural machine translation (MT) is faster and more accurate and provides higher-quality interpretations to empower more-advanced virtual assistants”.
The strategy towards a modular and open platform model continues to be reinforced with Artificial Solutions’ recent launch of their proposition. This Conversational AI SaaS offering is a collaboration with MS cognitive services that will help companies develop scalable Azure-based bots faster, in multiple languages and with a wide array of open-source channels, front and back-end connectors.
“The report identifies a few of Artificial Solution’s key unique selling points,” says CEO Per Ottosson. “Our solutions are fast, scale exceptionally well, and give ROI on client investment at a record pace. We are happy that Gartner recognizes us.”
The report recommends that “product leaders focused on the impact of conversational AI and virtual assistants on current and future products and services must Support globalization efforts for your conversational agents and CUI-enabled solutions by integrating real-time MT by 1H21, especially for customer services.”
It also states that “the vendors represented in this tech innovator document represent innovation trends and emerging capabilities in the market,
like:
- Using virtual assistants and conversational agents as a user interface to support business processes around sales, marketing, customer services, HR and IT support.
- Enablement of easier and tighter integration with business back-end applications allowing for more sustained and complex conversations.
- Rapid improvements around language understanding and dialogue capabilities for conversational AI agents with improvements around speech recognition, NLU engines and new techniques, like Transformer-based language models.
- Advancements in real-time neural machine translation (MT) empowering more advanced conversational agents.
- The next evolution stage of virtual assistants — digital employees and digital humans — which will often have a human appearance/face and include capabilities around emotional AI, AI/synthetic voice, end-to-end learning and humanlike content and context switching.”
Source:
Gartner, ‘Emerging Technologies: Tech Innovators in Conversational AI and Virtual Assistants’, Annette Jump, Bern Elliot, Adrian Lee, Danielle Casey, 08 January 2021. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Success Story featured in this report:
Teneo Powers Voice-based Virtual Assistant Thanks to a Robust Cpaas Integration.
This global financial organization wanted a solution to help its Customer Relationship Managers (CRM) maximize their time, by speeding up the process for completing mandatory client reports needed after each on-site meeting.
https://www.artificial-solutions.com/conversational-ai-case-studies/cpaas-integration/?utm_source=gartner-press-release&utm_medium=bottom-box-cta
Impacting employees' productivity
For this financial organization, a leader in investment banking and financial services, optimizing the Client Relationship Manager (CRM) report task was key to support its asset management business.
The CRMs spend most of their working hours on the road meeting clients and attending new prospects. After engaging with each client, they must report the outcome of the meeting and store this data in their client data center. However, this process was completely manual, and CRMs could only carry it out once they were back in the office, with the risk of delay or loss of valuable information.
The company used the Teneo Platform to build a conversational application that would allow these teams to submit reports on the phone, by conversing with a Virtual Assistant (VA) in a very natural way.
Thanks to Teneo, CRMs could reduce the average task execution time x7, going from 15 minutes to only 2 minutes. By simplifying and speeding up this process, they can free up to 86% more time from each report, allowing them to spend more valuable face to face time with each client.
Marie Angselius Schönbeck becomes new Marketing Manager for Artificial Solutions.
source
https://www.artificial-solutions.com/blog/marie-angselius-schonbeck-blir-ny-marknadschef-for-artificial-solutions
April 20, 2021
Artificial Solutions® (SSME: ASAI),
http://www.nasdaqomxnordic.com/aktier/microsite?Instrument=SSE145803&name=Indentive%20B
the leading provider of conversational AI for companies, is recruiting Marie Angselius Schönbeck from the American competitor Amelia,
https://amelia.com/amelia/
formerly IPsoft, where Marie was globally responsible for communications.
Marie Angselius Schönbeck has a broad background in both PR and marketing. She has over fifteen years of experience from the agency world, including as owner and founder of Angselius & Rönn. She has, for example, worked with Telia's IPO and with Qlik's IPO on Nasdaq in the US, but also has extensive experience in addition to IR. She launched, for example, the cruise industry in Sweden and has worked with tech B2B, consumer goods, games and entertainment and with many other industries.
- Marie Angselius Schönbeck will bring both deep and broad knowledge in communication and marketing. Through the recruitment of Marie as marketing manager, we add another piece to the puzzle in our reorganization. We are now better equipped than ever to conquer an even stronger position as the technology-leading company in Conversational AI. I have closely followed Marie's work with her previous employer and know what capacity she has. It will be exciting to see her imprint, says Artificial Solutions CEO Per Ottosson.
Marie takes over immediately.
"I look forward to working with Per and all the other talented people at Artificial Solutions," says Marie Angselius Schönbeck. Conversational AI is the fastest growing segment of Artificial Intelligence, which in itself is the fastest growing segment in the IT industry. Artificial Solutions also has a customer-friendly business and delivery model that perfectly matches the market's requirements - SaaS, subscription-based relationship as well as operation and delivery through world-leading cloud solutions. ”
Artificial Solutions' award-winning development platform Teneo enables developers and business users to collaborate and quickly build AI applications for human-system conversations. Teneo works on all channels and devices and for all types of services and is the market's most comprehensive platform for conversational AI. It currently supports 84 languages, covering almost 40% of the world's population. The solution, which in the latest version is called LUIS ^ Teneo, supports both chat and voice and is delivered on Microsoft's cloud platform Azure.
Artificial Solutions Closes Contract With Large American Multinational Technology Company.
source
https://www.artificial-solutions.com/blog/artificial-solutions-closes-contract-with-large-american-multinational-technology-company
April 14, 2021
Artificial Solutions® (SSME: ASAI),
http://www.nasdaqomxnordic.com/aktier/microsite?Instrument=SSE145803&name=Indentive%20B
the leading provider of conversational AI, today announced that a large North American Tech company has signed an agreement to integrate Artificial Solutions Conversational AI-technology to elevate its customer experience. The agreement is initially valued at SEK 650,000 per annum in recurring subscription revenues. The total revenue is determined by use, API-calls, over time. The client has the potential of generating more than 2.5 million API-calls per month. The solution supports both chat and voice, and will be delivered on Microsoft´s cloud platform Azure.
The client selected Artificial Solutions SaaS-based development suite and bot engine, called LUIS^Teneo, which will help the enterprise build, scale and maintain LUIS-based bots with less resources improving conversational bot ROI to enhance customer experience.
“The Client´s decision to select Artificial Solutions is a strong proof point that we deliver the best-in-class capabilities within Conversational AI,” says Artificial Solutions’ CEO Per Ottosson.
With Artificial Solutions’ platform for conversational AI, companies and organizations can quickly build a global top-level solution and then gradually localize it to more languages ??and regions. By eliminating the need to completely rebuild a chatbot every time a company wants to expand its reach, this makes it much easier to expand with more languages ??when needed. Artificial Solutions’ award-winning development platform Teneo enables developers and business users to collaborate and build AI applications for human-system conversations. Teneo works on all channels and devices and for all types of services, and is the market’s most comprehensive platform for conversational AI. It currently supports 84 languages, covering almost 40% of the world’s population.
About Artificial Solutions
Artificial Solutions® (SSME:ASAI) is the leading specialist in Conversational AI. We enable communication with applications, websites and devices in everyday, humanlike natural language via voice, text, touch or gesture input.
Artificial Solutions’ advanced conversational AI Teneo®, allows business users and developers to create sophisticated, highly intelligent applications that run across 86 languages and dialects, multiple platforms and channels in record time. The ability to analyse and make use of the enormous quantities of conversational data is fully integrated within Teneo, delivering unprecedented levels of data insight that reveal what customers are truly thinking.
Artificial Solutions’ conversational AI technology makes it easy to implement a wide range of natural language applications such as virtual assistants, conversational bots, speech-based conversational UIs for smart devices and more. It is already used daily by millions of people across hundreds of private and public sector deployments worldwide.
For further information:
https://www.artificial-solutions.com/
Per Ottosson, CEO, Artificial Solutions
Email: per.ottosson@artificial-solutions.com
Per Ottosson, CEO of Artificial Solutions, shares thoughts on the future of Conversational AI in new Podcast.
source
https://www.artificial-solutions.com/blog/per-ottosson-ceo-of-artificial-solutions-shares-thoughts-on-the-future-of-conversational-ai-in-new-podcast
April 8, 2021
Per Ottosson, the CEO of Artificial Solutions, had the opportunity to share his experiences and insights on the Conversational AI space and provide his vision into how Artificial Solutions is moving in a new direction in the market in this recent podcast at voicebot.ai.
https://voicebot.ai/
In this podcast, Per touches on key elements of the Conversational AI market and the importance of providing and embracing the developer ethos rather than black-box solutions.
By delving into use-cases, the podcast also explores Artificial Solutions’ focus on its partnership with Microsoft and its integration between the Teneo Engine and the LUIS NLU – LUIS^Teneo.
https://www.artificial-solutions.com/ms-luis-teneo
This podcast is a valuable way to learn more about the evolution of the industry, including the changes that are set to arise in the upcoming and the place Artificial Solutions seeks to hold as a leader in the market.
Click here to listen to the podcast on voicebot.ai
https://voicebot.ai/2021/04/07/per-ottosson-ceo-of-artificial-solutions-voicebot-podcast-ep-203/
Click here to listen to the podcast on Apple Podcasts.
https://podcasts.apple.com/us/podcast/the-voicebot-podcast/id1264180365
Artificial Solutions adds eight new connectors to Teneo.
source
https://www.artificial-solutions.com/blog/artificial-solutions-adds-eight-new-connectors-to-teneo
April 7, 2021
Artificial Solutions® (SSME:ASAI),
http://www.nasdaqomxnordic.com/aktier/microsite?Instrument=SSE145803&name=Indentive%20B
the leading specialist in enterprise-strength Conversational AI,
https://www.artificial-solutions.com/conversational-ai
announced today the addition of eight new connectors including Blue Prism, Jira and Zendesk, to their award-winning development platform, Teneo.
These new connectors will continue to help developers enhance their Conversational AI solutions by harnessing the power of back-office technology to deliver even greater intelligence and capabilities.
“We are happy to add these new Teneo Connectors to our stack and have our customers continue to enjoy these pre-built APIs that quickly integrate Teneo with a wide range of back-end systems,” says Andreas Wieweg, CTO of Artificial Solutions. “They provide a significant advantage not only for businesses, and their customers, and truly enhance solutions of any size”.
Unveiled a few months, Teneo Connectors
https://www.artificial-solutions.com/blog/artificial-solutions-launches-teneo-connectors-to-deliver-chatbot-super-powers
allow enterprises to easily integrate a wide variety of back-end systems and processes into their conversational AI solutions. They expand chatbots’ capabilities and enable them to deliver more intelligent responses based on the back-end actions, requests and processes it has executed. This platform feature has earned Artificial Solutions recognition as a market leader for Conversational AI in the latest Provider Lens™ Intelligent Automation
https://www.artificial-solutions.com/blog/artificial-solutions-named-as-a-leader-in-conversational-ai-in-the-2020-isg-provider-lens-intelligent-automation-solutions-and-services-report-for-the-us
report published by ISG last month.
The new additions to Teneo’s existing back-end connectors are:
https://developers.artificial-solutions.com/studio/backend-connectors
ServiceNow: https://www.servicenow.com/
https://developers.artificial-solutions.com/studio/backend-connectors/servicenow
The cloud computing platform helps companies manage digital workflows and automated experiences for enterprise operations. The connection between a Teneo solution and a ServiceNow REST API can link conversational AI solutions to retrieve incidents, create, update or delete incidents on ServiceNow.
Blue Prism: https://www.blueprism.com/de/
https://developers.artificial-solutions.com/studio/backend-connectors/blue-prism
The integration with Blue Prism’s Robotic Process Automation (RPA) technology will allow enterprises to be more agile and cost-effective by automating mission-critical processes and allowing human agents to focus on more complex and business-driven issues. By integrating with Teneo, these automations can now be easily connected directly to end-users through a natural language interface in multiple languages to maximize the benefits of RPA sequences and conversational AI applications.
Contentful: https://www.contentful.com/
https://developers.artificial-solutions.com/studio/backend-connectors/contenful
Create, manage, and distribute content to any platform. This connector can link your Teneo-powered bot with a content management system built in the Contentful platform.
Freshdesk: https://freshdesk.com/
https://developers.artificial-solutions.com/studio/backend-connectors/freshdesk
The cloud-based customer support software can now integrate with Teneo to connect conversational AI capabilities with authentication, ticket retrieval, contact agents and ticket management.
Monday.com: https://monday.com/lang/de/
https://developers.artificial-solutions.com/studio/backend-connectors/monday-dot-com
The project management tool enables organizations to manage tasks, projects, and teak work more efficiently. This Teneo backend connector can use conversational bots to perform end-to-end tasks such as the retrieval of items from dashboards or grouping, adding, and filtering items. As in most of Teneo’s connectors, the source code of the integration is embedded in the solution, it can easily be extended or used as a starting point for new methods.
Zoho Desk: https://www.zoho.com/desk/
https://developers.artificial-solutions.com/studio/backend-connectors/zoho-desk
As a context-aware customer service software that promotes self-service and cross-functional processes, Zoho Desk’s back-end integration with Teneo’s solution contains methods for authentication and the retrieval, filtering, creation, updating and deletion of tickets., with the possibility of extending new methods.
Jira: https://www.atlassian.com/software/jira
https://developers.artificial-solutions.com/studio/backend-connectors/jira-cloud
The widely used agile project management software can integrate with Teneo to use conversational bots for authentication and ticket management.
Zendesk: https://www.zendesk.com/
https://developers.artificial-solutions.com/studio/backend-connectors/zendesk-support
This connector’s integration with Zendesk support allows for Teneo bots to let end-users create and manage support tickets with Zendesk’s customer service software.
The development of these new connectors is the result of the company’s Teneo Bounty program,
https://www.artificial-solutions.com/teneo-backend-connectors-bounty-program
an initiative to encourage the developer community to build back-end connectors on the Teneo Platform in exchange for a reward of €500 in Amazon vouchers for the creation of each new backend connector. Due to its success, the bounty program has been extended until April 30th, 2021.
Artificial Solutions to Highlight the Future of Conversational AI & SaaS-Business Models at Redeye Seminar.
source
https://www.artificial-solutions.com/blog/artificial-solutions-saas-business-models-redeye-seminar
March 31, 2021
Artificial Solutions® (SSME:ASAI) the leading specialist in enterprise-strength?Conversational AI,
https://www.artificial-solutions.com/conversational-ai
announced today that the company CEO, Per Ottosson will be discussing the importance and market opportunities of transitioning to a SaaS-business model at the upcoming Software as a Service webinar
https://www.redeye.se/events/803046/theme-software-as-a-service-saas-apr-14th
hosted by Redeye on April 14th, 2021.
With twenty speakers participating in the webinar, the event will provide institutional investors with insights to learn more about ongoing secular growth trends, including the shift from on-premise enterprise infrastructure to the Cloud, consumerization of IT, and the rise of the subscription economy and investor cravings for recurring revenue.
During his presentation, Per will examine how Artificial Solutions has leveraged the shift to a SaaS-business model and the new strategies the company has taken to stay ahead of the market.
“The Conversational AI market is growing vertiginously, and businesses must build and expand their strategies in such a high-growth area of the market” said Per Ottosson, CEO at Artificial Solutions. “Part of these new changes come from focusing on the delivery and management of scalable, flexible and affordable subscription-based software in the cloud, rather than on-premise software.”
The webinar will also be an opportunity to learn more about LUIS^Teneo,
https://www.artificial-solutions.com/ms-luis-teneo
the recently launched SaaS-based development suite and bot engine integrating the Conversational IDE and Runtime of Teneo with Microsoft LUIS that allows developers to build, scale and maintain LUIS-based bots with fewer resources, improving conversational bot ROI.
Artificial Solutions’ award-winning development platform Teneo® allows developers and business users to collaborate and build humanlike conversational AI applications.
Running over any channel, device or service, Teneo is the most extensive Conversational AI language platform in the market, delivering CAI solutions in 84 languages
https://www.artificial-solutions.com/blog/artificial-solutions-expands-conversational-ai-platform-84-languages
and providing built-in language support that covers close to 40% of the world’s population.
Artificial Solutions expands its Conversational AI platform to 84 languages spoken natively by 3 billion people.
source
https://www.artificial-solutions.com/blog/artificial-solutions-expands-conversational-ai-platform-84-languages
March 29, 2021
Artificial Solutions today announced support for 48 additional languages to the already supported 36, making it the most extensive conversational AI language solution in the market. The company estimates that the built-in language support in the platform now covers close to 40 % of the world’s population. The platform supports 84 official languages.
“We are all about making our clients productive in a global context. Technology-wise, our approach is simple: clients build a global top-level solution and efficiently localize it to more languages and regions, said Andreas Wieweg”, CTO at Artificial Solutions.
“By eliminating the need to completely rebuild a bot each time for an enterprise that wants to expand its reach, our functionality makes it easier to expand with more languages as you go. With our platform, you train, build and deploy in all our supported languages.”
The 84 languages include
– Afrikaans, Amharic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bosnian, Bulgarian, Catalan, Chinese (Mandarin), Croatian, Czech, Danish, Dutch, English, Esperanto, Estonian, Ewe, Faroese, Finnish, French, Galician, German, Greek Georgian, Gujarati, Hindi, Hungarian, Icelandic, Indonesian, Italian, Igbo, Irish, Japanese, Latvian, Kazakh, Kinyarwanda, Kirundi, Kyrgyz, Lithuanian, Luxembourgish, Macedonian, Malay, Malagasy, Maltese, Marathi, Mongolian, Nepali, Norwegian, Odia, Oromo, Papiamento, Polish, Portuguese, Quechuan, Romansh, Romanian, Russian, Sámi, Sango, Scottish Gaelic, Shona, Sinhala, Somali, Swahili, Swati, Serbian, Slovak, Slovene, Spanish, Swedish, Turkish, Tigrinya, Tsonga, Tswana, Turkmen, Ukrainian, Uzbek, Vietnamese, Welsh, West Frisian, Yoruba and Zulu.
In addition, the platform also caters for regional differences and different writing scripts. Examples of this include the different spelling variations between UK and US English, the differences in vocabulary and grammar for Brazilian and European Portuguese, and the different Japanese writing systems.
The Role of NLP in delivering quality Conversational AI.
source
https://www.artificial-solutions.com/blog/role-nlp-conversational-ai
March 25, 2021
We live in a moment of digital transformation
https://www.artificial-solutions.com/digital-transformation
where governments, services and brands are using new technologies to reach out to consumers. Increasing consumer demands for 24/7, omnichannel services have furthered the need to develop automated or self-service processes to meet these requirements.
Chatbots are a solution to these requests. However, a common frustration point when people use chatbots is that the bot doesn’t always understand what they want to say. This isn’t a fault of the technology as a solution, but a result of the bot’s Natural Language Processing design and development not being up to standard.
But what is NLP and how important is its role in delivering top quality Conversational AI solutions? This article will focus on the role NLP and its elements play in the creation of a robust CAI platform.
What is the link between Conversational AI and Natural Language Processing?
Conversational AI (CAI)
https://www.artificial-solutions.com/conversational-ai-technology
is an advanced way of offering a conversational experience through digital technologies that mimics real-life conversations with people. It does so by using rich data sets, algorithms and linguistic knowledge to provide users with engaging, multilingual experiences on multiple platforms and devices.
Conversational AI provides scalable, integrated and advanced dialogue systems that deliver personalized and contextual conversations to extract meaning from natural sentence structures. Conversational AI is an entire solution that incorporates numerous technologies to provide an optimal digital conversational experience.
Ultimately, Conversational AI is the predominant form of AI in business right now, and its success holistically spans around various related areas beyond deep learning and machine learning state-of-the-art systems, data privacy and analytics, as well as traditional, complex dialogue management techniques like context awareness, topic awareness, topic switching, interruption handling, anaphora resolution etc.
On the other hand, Natural Language Processing (NLP) is a subfield of Artificial Intelligence that focuses on helping computers understand human language. Natural Language Processing is also an important component of Conversational AI. By using techniques to understand the intent in human language, NLP breaks down sentence structures to deliver the best response and improve customer experience by understanding what the user says.
Natural Language Processing: Measuring and Categorizing Human Language.
Machines are quick, consistent and highly efficient, but they do not excel in understanding humans nor the context or the reasoning behind what they say.
While being different to each other, Conversational AI and Natural Language Processing both enable human-like interactions between people and connected devices by facilitating contextual and comprehensive cooperation between humans and machines. This can be done across a variety of modalities, like voice, text, tapping, gestures or facial expressions, and improves one-directional or back-and-forth interactions between humans and computers.
To understand human language, machines need to listen, process, break down, analyze and categorize human text and speech.
In order to achieve this, Natural Language Processing can dissect any volume of text into sentences and words and then processing and categorizing it. Here are some of the core tasks functions NLP can carry out:
Normalization:
A process that converts a list of words into uniform sequences such as lowercase.
Tokenization & Sentence Splitting:
The task of splitting a text into its constituent parts, for example, words or sentences.
Spelling Correction & Misspelling Tolerance:
Correct spelling mistakes or accept typos while understanding what word was intended.
Part of Speech (POS) tagging & Morphological Analysis:
defining the attributes of each word, for example, whether a word is a noun or a verb, and then tagging this for future reference.
https://www.nltk.org/book/ch05.html
Language Detection:
identifying the language that is being used.
Sentiment & Intensity Detection:
identifying words that indicate sentiment and/or intensity within a text.
Advanced Natural Language Processing Capabilities.
When further examining NLP, numerous capabilities stand out beyond analyzing the linguistic components in a text. We have listed some below:
Topic Modeling:
topic modeling helps uncover hidden topics from large collections of documents. While it is an unsupervised method
https://www.mathworks.com/discovery/unsupervised-learning.html
of NLP, where models are trained without pre-tagging or labeling, it can be used to discover latent patterns in unstructured data and discover unnoticed correlations in customer behavior.
Text Categorization:
as mentioned, NLP can classify texts in numerous ways, so that they are easier to process and analyze. This categorization can provide insights about the user intent and also serve to detect and categorize undesirable patterns and spam.
Text Clustering:
texts can be grouped
https://towardsdatascience.com/a-friendly-introduction-to-text-clustering-fa996bcefd04
based on their contextual similarities. This helps better understand the key issues under a specific domain.
Information Extraction:
large amounts of unstructured data can be parsed and keywords about an issue are extracted and collected.
Named Entity Resolution:
a more specific form of parsing seeking exact names, brands, locations, etc.
Relationship Extraction:
NLP can identify and extract semantic relations
https://medium.com/@andreasherman/different-ways-of-doing-relation-extraction-from-text-7362b4c3169e
between entities or brands, determining, for example if two brands have a parent-agency relationship, or if they are partners depending on the context.
The Elements that Comprise and Extend Natural Language Processing.
Conversational AI and NLP allow chatbots to communicate with end-users in a way that mirrors human conversation. There are many different components that overlap and extend NLP’s capabilities.
Natural Language Understanding (NLU).
Natural Language Understanding focuses on enabling machines to understand spoken, written and gestural communication. It is the facet of NLP that focuses on the capabilities highlighted previously. Understanding intent is more than detecting what phonetic sounds or symbols are added in to make a word, but of interpreting what the meanings are and what it is the user wants to achieve.
With NLP, people using a chatbot don’t have to rely on exact keyword matches. They can use complex sentences, in different regional and sociocultural variations, using idioms or broken grammar, and NLP subsequently breaks down each sentence, settling linguistic ambiguities and providing syntactic and semantic comprehension.
NLU provides the building blocks to interpret human language and the message being said. It recognizes patterns and establishes what the user is trying to say, even when a similar message is expressed in different ways, to deliver an appropriate response.
[color=green]Conversational AI takes natural language processing (NLP) and natural language understanding (NLU) to the next level. It allows enterprises to create advanced dialogue systems that utilize memory, personal preferences and contextual understanding to deliver a proactive?natural language interface[/color].
The best conversational AI platforms
https://developers.artificial-solutions.com/
offer lexical resources that cover common terms, expressions, vocabulary and phrases for a specific language and domain. These serve as the basis upon which dialogue flows are constructed. When combined with AI algorithms, they can determine the many different ways a phrase or question can be structured.
https://www.artificial-solutions.com/blog/333-ways-to-ask-for-a-joke
Chatbots will still have their limitations, as they are typically designed to carry out specific tasks related to their customers. So, for example, bank bots
https://www.artificial-solutions.com/blog/conversational-banking
will be programmed to understand information and terms related to financial services and contextual information about a customer but will not know the cheapest travel tickets or how to suggest the best broadband deal.
https://www.artificial-solutions.com/blog/ai-chatbots-telecom
While establishing boundaries can limit the possibility of having generic conversations with a chatbot, this guarantees more profound contextualization and understanding of intent within the chatbot’s key functions.
Natural Language Generation (NLG).
Natural Language Generation is another component that combines with NLU in order to support NLP’s goals. Understanding and interpreting a message is essential. But real conversations require a meaningful response. NLG
https://ai.googleblog.com/2020/05/evaluating-natural-language-generation.html
explores the data, integrated back-end systems and third-party databases to create a response that incorporates additional parameters that will give the final message a fresh, accurate and personalized effect.
NLG is responsible for creating sentences from data, or templates, structuring them into a coherent narrative, or generating a synopsis of large volumes of text. The efficient use of contextual data will ultimately provide an enhanced humanlike experience.
Dialogue Management (DM).
Dialogue Management determines how a chatbot can select the correct reply with the information that it has based on what has been said, the knowledge the chatbot has, and the goals that have been defined, in order to guide the conversation.
Conversational AI holds all these components together.!!!!!!!!!!!!!!!!
Conversational AI Uses NLP to Deliver the Best Customer Journeys.
Today, people use numerous devices to connect with each other, carry out transactions and interact with their favorite brands. Along with the growing need to provide accurate and efficient automated self-services, businesses must ensure that customer experience, a major brand differentiator, is of the highest quality.
https://www.gartner.com/en/marketing/insights/customer-experience
When customers can use their own words when talking to a chatbot and receive immediate and accurate responses, call center volumes are decreased, saving resources, revenue and time for agents to focus on more complex issues, while maintaining high customer satisfaction rates.
Conversational AI platforms like Teneo
https://www.artificial-solutions.com/teneo
can make the most of the elements of NLP, and help both the customer and the human agent, by providing aggregated insights, summaries and suggesting possible personalized responses by tracking data and delivering efficient resolutions.
Conversational experiences cannot be created via stand-alone tasks. The best Conversational AI implementations require end-to-end CAI platforms, covering every core module from NLP tasks, to NLU handling, Dialogue Management and NLG. Additionally, they provide data privacy and analytics capabilities.
With the increasing use of new technologies, voice assistants and conversational platforms, NLP is crucial in determining that CAI platforms deliver conversations that are accurate, personalized and as human-like as possible.
Gartner
https://www.gartner.com/en/newsroom/press-releases/2019-10-21-gartner-identifies-the-top-10-strategic-technology-trends-for-2020
states that “through 2028, the user experience will undergo a significant shift in how users experience the digital world. Conversational platforms are changing the way people interact with the digital world.” Enterprises must not be caught offside and seek the best platforms to stay ahead in the market.
Teneo Developers
Try Before You Buy.
Build. Deploy. Analyze.
Sign up to get your own developer sandbox of Teneo containing all the tools needed to build and manage advanced conversational solutions.
https://developers.artificial-solutions.com/?utm_source=artificial-solutions&utm_medium=blog-technical-content
CSG Conversational Artificial Intelligence Recognized Globally for Driving a Personalized and Engaging Customer Experience.
source
https://www.artificial-solutions.com/blog/csg-conversational-ai-recognized-driving-personalized-engaging-c
March 11, 2021
CSG®’s (NASDAQ: CSGS)
https://www.csgi.com/
Conversational Artificial Intelligence (AI) solution was named Best Product In Telecommunications by the Business Intelligence Group during their 2021 BIG Innovation Awards.
https://www.bintelligence.com/big-innovation-awards
“More than ever, the global society relies on innovation to help progress humanity and make our lives more productive, healthy and comfortable,” said Maria Jimenez, chief operating officer, Business Intelligence Group. “We are thrilled to recognize CSG as one of the organizations leading with innovative problem solving, creativity and progress.”
“CSG delivers industry-leading customer engagement solutions that give our customers the ability to deliver an exceptional experience to their customers, while providing the agility to rapidly adapt as their business needs evolve,” said Dave Bukovinsky, executive director, CSG. “We are focused on revolutionizing customer engagement solutions to ensure our customers’ businesses are future-ready, while making the best experiences today even better. Thank you to the Business Intelligence Group.”
Artificial Solutions Named as a Leader in Conversational AI in the 2020 ISG Provider Lens™ Intelligent Automation – Solutions and Services report for the US.
source
https://www.artificial-solutions.com/blog/artificial-solutions-named-as-a-leader-in-conversational-ai-in-the-2020-isg-provider-lens-intelligent-automation-solutions-and-services-report-for-the-us
March 9, 2021
Artificial Solutions® (SSME:ASAI), the leading technology provider in enterprise Conversational AI, today announced that it has been recognized by ISG, a renowned technology research and advisory firm as a Leader, in Conversational AI.
Artificial Solutions provides a development platform for Conversational AI that can be deployed in half of the time while delivering twice the value compared with other existing, traditional Conversational AI- solutions. Teneo is the most advanced hybrid linguistic platform available supporting 38 languages and several dialects.
The ISG report highlights Artificial Solutions’ AI software solutions through its platform Teneo, and its outstanding ability for developers to build conversational AI apps. Teneo focuses on applicability in enterprise context not just by leveraging machine learning (ML) or linguistic approach alone, but rather by taking a hybrid approach that provides meaningful context for regular linguistic actions. Artificial Solutions’ Teneo also enables enterprises to connect back-end processes, channels, and systems for meaningful interactions.
The analyst comment in the report states, “Artificial Solutions’ hybrid approach to map linguistic and ML capabilities in the business context helps Teneo identify customer intent with high accuracy and is a key differentiator”.
The ISG Provider Lens™ 2020 Intelligent Automation — Solutions & Services 2020 report for the U.S. assesses more than 70 service providers.
Andreas Wieweg – CTO, Artificial Solutions, commented, “We view this as a recognition of our excellence with yet another industry innovation; we were first with an open model and we are now first with a hybrid model. Our dedication is to create value to our clients’ needs with a modular, sustainable, and scalable approach that provides far higher value over time. Our mission is to make our clients more productive.”
Artificial Solutions has an open modular approach to cater for the different needs of developers. Recently, Artificial Solutions announced the availability of Teneo within the Azure marketplace, which enables the Microsoft customer base to integrate conversational AI solutions within their enterprise. With LUIS^Teneo,
https://www.artificial-solutions.com/ms-luis-teneo
a free SaaS-based development suite and bot engine using Microsoft LUIS, developers can rapidly build a prototype and then scale these solutions for high volumes, across multiple channels and languages.
For detailed information on Artificial Solutions’ performance in Conversational AI in the 2020 ISG Provider Lens™ Intelligent Automation – Solutions and Services report for the U.S.,
download the full version here:
https://www.artificial-solutions.com/conversational-ai-reports/isg-intelligent-automation-report-us
CONTACT DETAILS
Daniel Eriksson, Chief Innovation and Customer Success Officer, Artificial Solutions Daniel.eriksson@artificial-solutions.com
+46708517810
About ISG
ISG (Information Services Group) (Nasdaq: III) is a leading global technology research and advisory firm. A trusted business partner to approximately 700 clients, including more than 75 of the world’s top 100 enterprises, ISG is committed to helping corporations, public sector organizations and service and technology providers achieve operational excellence and faster growth. The firm specializes in digital transformation services including automation, cloud and data analytics; sourcing advisory; managed governance and risk services; network carrier services; strategy and operations design; change management; market intelligence and technology research and analysis. Founded in 2006 and based in Stamford, Conn., ISG employs approximately 1,300 digital-ready professionals operating in more than 20 countries—a global team known for its innovative thinking, market influence, deep industry and technology expertise, and world-class research and analytical capabilities based on the industry’s most comprehensive marketplace data.
For more information, visit
https://isg-one.com/
Artificial Solutions adds Malay and Indonesian, spoken by 290 million people, to its Conversational AI platform.
source
https://www.artificial-solutions.com/blog/artificial-solutions-adds-malay-and-indonesian-spoken-by-290-million-people-to-its-conversational-ai-platform
March 1, 2021
Artificial Solutions® (SSME:ASAI), the leading technology provider in enterprise conversational AI, has added more languages to its SaaS development platform. The Conversational AI platform, Teneo, enables rapid deployment of multi-language bots and virtual agents with less effort across 38 languages, platforms and channels.
Very few large-scale projects can run more than one tone of voice or language. As Teneo’s Conversational IDE and Runtime is integrated with MS LUIS, LUIS^Teneo
https://www.artificial-solutions.com/ms-luis-teneo
enables enterprises to build, link and manage multi-tone, multi-channel and multi-language solutions with inheritance, reusability and control. Its structure allows new languages to be quickly added, whilst building and controlling multilingual implementations through its powerful localization functionality.
LUIS^Teneo also allows a global conversational bot to be developed in one language and then easily ported into other languages – of course with the added ability to localize if required to accommodate product differences, local regulations etc.
Artificial Solutions empower businesses to build bots and maximize their resources through rapid development, fast implementation times, increased functionality and greater scalability.
“We enable enterprises to develop natural language bots faster than any other software vendor on the market, making it easier to build natural language capabilities into applications and engage directly with customers in multilanguage and in multiple communication channels. Our mission is to help all developers become more productive and create value for every enterprise we interact with,” said Andreas Wieweg, CTO at Artificial Solutions.
Teneo’s conversational AI framework is now available in Basque, Belarusian, Bosnian, Bulgarian, Catalan, Chinese (Mandarin), Croatian, Czech, Danish, Dutch, English, Esperanto, Finnish, French, Galician, German, Greek, Hungarian, Icelandic, Indonesian, Italian, Japanese, Latvian, Lithuanian, Macedonian, Malay, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovene, Spanish, Swedish, Turkish, Ukrainian.
In addition, the platform also caters for regional differences and different writing scripts. Examples of this include the different spelling variations between UK and US English, the differences in vocabulary and grammar for Brazilian and European Portuguese, and the different Japanese writing systems.
Developers can try Teneo for free to see for themselves how easy it is to rapidly build a prototype and then scale these solutions for high volumes and across multiple channels and languages.
More information about LUIS^Teneo:
Visual flows.
The development platform is highly visual, enabling easy collaboration. LUIS^Teneo allows developers and business specialists to work together to build, visualize, optimize and deploy applications.
Lower the total cost of ownership of Conversational AI-implementations.
LUIS^Teneo offers a more efficient development allocation over the project life cycle, by combining the easy-to-build experience with more advanced functionality required when projects and ambitions grow. Artificial Solutions’ hybrid language model reduces the need for expensive training data and can enable rapid deployment of multi-language solutions. One platform covers every aspect of application development: pre-analysis, scoping, design, development, integrations, testing, deployment, logging, analysis and data-driven automated optimization.
Accessible SaaS model.
LUIS^Teneo offers clients to signup, build and deploy their conversational API from Artificial Solutions cloud platform with lower initial cost and greater economies of scale.
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