Register for free to join our community of investors and share your ideas. You will also get access to streaming quotes, interactive charts, trades, portfolio, live options flow and more tools.
Register for free to join our community of investors and share your ideas. You will also get access to streaming quotes, interactive charts, trades, portfolio, live options flow and more tools.
Siyata Mobile Announces New Orders Totaling $600,000 Revenue.
Source
https://finance.yahoo.com/news/siyata-mobile-announces-orders-totaling-120000724.html
June 22, 2023
SD7 Handsets and Accessories to Be Deployed for Use in Education, Construction and Logistics.
Siyata Mobile Inc. (NASDAQ:SYTA)(NASDAQ:SYTAW), a global vendor of Push-to-Talk over Cellular (PoC) devices and cellular signal booster systems, today announced that it has received new orders during the second quarter 2023 in addition to orders previously announced on June 5, 2023, for its SD7 Handsets and VK7 Vehicle Kits totaling approximately $600,000, in aggregate revenue, from customers of leading cellular carriers.
These new orders are expected to be delivered in the second and third quarters of 2023.
Marc Seelenfreund, CEO of Siyata, stated, "These orders are additional proof points of the sales momentum that we are building and the demand for our unique Push-to-Talk offering. By leveraging the large-scale sales forces of our major cellular carrier partners, we are reaching more customers across the U.S. and diversifying into new markets. The orders we are announcing today will support operations in education, construction and logistics. The use cases for our SD7 handsets reach far beyond our more traditional market of emergency response, and our pipeline of new markets and potential new customers continues to grow."
Siyata Mobile to Showcase Mission Critical PPT Solution with CrisisGo at National School Safety Conference June 28-29.
Source
https://finance.yahoo.com/news/siyata-mobile-showcase-mission-critical-120000728.html
June 21, 2023
Siyata Mobile Inc. (Nasdaq:SYTA, SYTAW), a global vendor of Push-to-Talk over Cellular (PoC) devices and cellular signal booster systems, today announced that it will host exhibitor's booth #105 at NASRO 2023, a National School Safety Conference, on June 28 - June 29, 2023 at the JW Marriott Hotel in Indianapolis, Indiana.
NASRO 2023 marks the 33rd year that school leaders and school resource officers (SRO's) are gathering to network and learn about innovative solutions that can strengthen security in schools.
Marc Seelenfreund, CEO of Siyata, stated, "School-based policing is the fastest growing area of law enforcement, and NASRO is a recognized leader in school-based officer training.
https://www.nasro.org/main/about-nasro/
Our SD7 handset is designed for instant communication with an SOS panic button and when integrated with Crisis Go's Emergency Management application, provides a simple, easy-to-use solution for immediate and seamless communication. We look forward to speaking with conference attendees about the critical role our Push-To-Talk solutions can play in helping law enforcement and school safety teams and SRO's keep students and staff safe both in a time of crisis and through daily school operations."
Jim Spicuzza, Chief Product Officer of CrisisGo, commented, "I am thrilled about our partnership with Siyata Mobile and the introduction of the SD7 Next Gen Panic button with Push to Talk functionality and the VK7 vehicle kit for buses. These innovative solutions not only enhance the safety and security of schools, but also provide a seamless communication system for immediate response during emergencies. We are dedicated to empowering schools with cutting-edge technology, and this collaboration further strengthens our commitment to creating safer learning environments for students and peace of mind for educators and parents."
Rudy Perez, President of NASRO added, "I'm eagerly anticipating Siyata Mobile and CrisisGo's joint solution presentation at NASRO this year, and I'm keen to discover how it's revolutionizing school safety. Additionally, I'm thrilled to take part in their inaugural conference podcast."
About NASRO
The National Association of School Resource Officers (NASRO) is dedicated to making schools and children safer by providing the highest quality training to school-based law enforcement officers. NASRO, the world's leader in school-based policing, is a not-for-profit organization founded in 1991 for school-based law enforcement officers, school administrators and school security and/or safety professionals who work as partners to protect schools and their students, faculty, and staff members.
About CrisisGo
CrisisGo builds easy-to-use software tools to empower people to take an active role in keeping themselves and others safe. Tools that shorten the distance between seeing something and doing something about it-because we believe speed is important to safety, prevention, and response.
CrisisGo is a leader in K-12 for over a decade, providing solutions to empower schools with real-time alerting, incident management, and parent notification features. CrisisGo constantly innovates to enhance K-12 security, partnering with educators and administrators to create safe and nurturing learning environments, and is redefining school safety for a brighter future in education.
WIMI innovatively develops a humanoid robot control system.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001gn7w?from=finance
June 21, 2023
It is understood that, as a world-leading artificial intelligence company, the research team of WIMI (NASDAQ: WIMI) has developed a brain-computer interface (BCI) based on a head-mounted display (HMD) through extensive research in experiments. Controlled humanoid robot interactive control system. This type of interaction controls the robot to interact with the environment and humans through Steady State Visual Evoked Potentials (SSVEP). In this solution, the robot's embedded camera provides real-time feedback, and the stimulus feedback is integrated into the HMD display.
In this research, WIMI's research on the humanoid robot control system based on the head-mounted display (HMD) through the brain-computer interface (BCI) demonstrated a new interaction of the BCI-controlled humanoid robot based on the head-mounted display. It provides a more natural and intuitive way to control the robot. Experimental results show that the control system can provide precise control signals, and users have a very good interaction experience with it. This control method has potential and can be used in many scenarios that require precise control, such as medical care, education, entertainment and other fields.
Humanoid robots have achieved rapid development on the basis of continuous changes in control methods and artificial intelligence technologies, and the conditions for commercialization are increasingly mature. WIMI has increased its investment in this field, which shows that it attaches great importance to and is optimistic about humanoid robots. WIMI's navigation assistance solution for BCI-controlled humanoid robots based on head-mounted displays provides users with a novel interaction method that can improve the robot's operating efficiency and interactive experience. In the future, it can bring a more human-like interactive experience and a wider range of application scenarios, and can interact or work collaboratively with people in a designated area.
epilogue
Humanoid robot research started from the imitation of bipedal walking and expanded to the research and development of artificial intelligence. Since the development of the humanoid robot industry chain, the upstream includes raw materials and core components (with a high proportion of value), and the midstream is system integration and body manufacturing. Downstream is subdivided application scenarios (To B & To C), such as education, logistics and mobile, health care and inspection, etc.
Robots are similar to the smart phone industry chain, and are expected to reproduce the changes in the development stage of smart phones. In addition, under the influence of comprehensive factors such as policy support, global aging, and technological progress, the robot industry has fully met the conditions for entering a period of rapid growth. This may be the reason why many high-tech companies attach importance to and take action to enter the market. In general, in recent years, various humanoid robot products have been launched one after another, with different functions and application scenarios. Coupled with the optimism of WIMI, it will undoubtedly further accelerate the development of this field.
Artificial Solutions International AB (publ) (ASAI.ST)
"AI in Europe headquartered in Stockholm, Sweden."
https://www.teneo.ai/
https://finance.yahoo.com/quote/ASAI.ST?p=ASAI.ST&.tsrc=fin-srch
https://investorshub.advfn.com/Artificial-Solutions-International-AB-ASAIF-39215
Artificial Solutions International AB (publ) (ASAI.ST)
SE 0018397184 Shares Outstanding 102.43 Million (as of January 30, 2023)
https://www.nasdaqomxnordic.com/aktier/microsite?Instrument=SSE145803&name=Artificial%20Solutions%20Intern.&ISIN=SE0018397184
About
https://www.teneo.ai/about-us
Group Structure
Artificial Solutions® International AB was founded in 2001, is listed on the Nasdaq First North Growth
Market in Stockholm with the ticker ASAI, is headquartered in Stockholm, Sweden and is a leader in AI.
Our platform, Teneo, is used by millions of people across hundreds of private and public sector SaaS
deployments worldwide. Teneo.ai, Teneo and OpenQuestion are registered brands by Artificial Solutions.
Our vision is a world without queues, without keypad navigation, with instant service. We’re proud to
transform the customer experience for hundreds of millions of consumers around the world, powering
millions of interactions every day across our enterprise client base. Our customers replace traditional
phone keypad-based menus with welcoming, short, and precise full sentences - OpenQuestion.
The solution is based on our award-winning SaaS-platform Teneo. Which runs across 86 languages and
dialects and is fully integrated with call center and contact center systems.
Integrations with Genesys Cloud CX, Google Cloud, Microsoft and OpenAI (ChatGPT), demonstrate
our commitment to driving innovation in Conversational IVR for the benefit of enterprise contact center
operators around the world. Through OpenQuestion, businesses can effortlessly connect Generative AI
and Large Language Model functionality to their existing set up; no complications just instant results.
Co. Presentation: https://www.investors.artificial-solutions.com/wp-content/uploads/ASAI_Q1_2023_Report_PPT_ENG-1.pdf
Annual Report 2022: https://investors.artificial-solutions.com/wp-content/uploads/2023/Annual_Report_2022_ENG_FINAL.pdf
Homepage: https://www.teneo.ai/
Contact: https://www.teneo.ai/contact marketing@teneo.ai
Newsroom: https://www.investors.artificial-solutions.com/press-releases
Blog: https://www.teneo.ai/blog
Analysts: https://www.investors.artificial-solutions.com/analysts
Investor Relations: https://www.investors.artificial-solutions.com/
Fredrik Törgren, CFO, +46 (0)70 355 08 29 IR@artificial-solutions.com
Financial Reports: https://www.investors.artificial-solutions.com/financial-reports
LinkedIn: https://www.linkedin.com/company/teneo-ai/
Twitter: https://twitter.com/teneo_ai
Youtube: https://www.youtube.com/@teneo_ai
Facebook: https://www.facebook.com/teneoai
Zoominfo: https://www.zoominfo.com/c/artificial-solutions-international-ab/351349812
Solutions
OpenQuestion - IVR for Smart Call Routing
https://www.teneo.ai/solutions/openquestion
Successes
- Artificial Intelligence in Call Centers
https://investorshub.advfn.com/boards/read_msg.aspx?message_id=172028376
- Customer Experience With Ai Telephony Self Service
https://investorshub.advfn.com/boards/read_msg.aspx?message_id=172173924
- Decreasing Call Transfers and Improving Customer Experience
https://investorshub.advfn.com/boards/read_msg.aspx?message_id=172175077
- The Impact of Generative AI on Customer Service
https://investorshub.advfn.com/boards/read_msg.aspx?message_id=172164077
Decreasing Call Transfers and Improving Customer Experience.
Source
https://www.teneo.ai/blog/decreasing-call-transfers-and-improving-customer-experience
June 19, 2023
Call transfers and long hold times in customer service can significantly impact customer satisfaction (Csat) and First Call Resolution (FCR) rates.
Research shows that when calls are transferred or put on hold, the customer experience can be negatively impacted. According to a study by SQM Group,
https://www.sqmgroup.com/resources/library/blog/call-transfer-hold-performance-impact-csat-and-fcr
19% of customers who call a contact center are transferred to another agent.
This transfer results in a 12% lower customer satisfaction rating and a 14% lower First Call Resolution rate compared to when a customer is not transferred.
The primary reason for these transfers is often due to the initial voice menu system (IVR) failing to route the customer to the correct agent or due to the agent’s insufficient knowledge, skills, and abilities.
Furthermore, how a customer is transferred can also affect satisfaction and resolution rates. For customers who were “warm transferred” (meaning their call was handed off directly from one agent to another with the customer on the line), satisfaction and resolution rates were significantly higher.
This is because customers do not have to repeat their information to the new agent.
Still, the ideal scenario for most customers is for the first agent they speak with to handle their call without needing a transfer at all.
Hold times also have a considerable impact on customer satisfaction and resolution rates.
The research shows that 46% of customers are put on hold during a call, and this results in a 15% lower customer satisfaction rating and a 19% lower First Call Resolution rate compared to when customers are not put on hold.
The typical hold time is between 30 seconds and five minutes, and customers often prefer a “live hold” (where they can speak to an agent at any time) over being put on mute.
From a cost perspective, American consumers spend, on average, 13 hours per year
https://hbr.org/2019/02/why-is-customer-service-so-bad-because-its-profitable
in calling queues, costing an estimated $38 billion.
A third of complaining customers must make two or more calls to resolve their complaint, and some simply give up out of exasperation after the first call. This is particularly prevalent in industries where customers have few alternatives, such as airlines, cable, and internet services.
To mitigate these issues, many businesses are turning to contact center platforms that can automate many customer service tasks and integrate multiple communication channels.
These platforms streamline the customer service process, reduce the need for call transfers, and provide agents with the necessary context to handle calls more effectively.
In this guide, we will explore strategies to decrease call transfers and improve the overall customer experience in contact centers. We will cover different types of call transfers, the benefits of reducing them, and effective strategies to implement.
Additionally, we will provide real-world examples of enterprises that have successfully solved this problem using AI-powered customer service solutions.
Understanding Call Transfers
Call transfers involve rerouting calls to other agents when the initial agent is unable to resolve the customer’s issue. Common reasons for transfers include wrong routing, the need for specialized assistance, or escalation to senior employees.
Excessive call transfers can result in frustrating experiences for customers and inefficiencies for contact centers.
Types of Call Transfers
- Cold Transfers
These occur when the receiving agent has no knowledge of the caller’s issue, leading to the customer having to repeat their problem. Cold transfers can prolong call duration, causing frustration for both parties involved.
- Warm Transfers
In this scenario, the first agent provides relevant information about the caller to the second agent, ensuring a smoother transition.
Warm transfers can be done manually or with the help of integrated technology that automatically sends customer information along with the call.
Benefits of Reducing Call Transfers
Reducing call transfers positively impacts several key customer support metrics, including
- Call Transfer Rate (CTR),
- First Contact Resolution (FCR), and
- Average Handling Time (AHT).
It also enhances the overall customer experience, as studies show that customers are likely to discontinue business with a brand after a bad experience.
Strategies to Reduce Call Transfers
Better Call Routing
Implementing techniques such as location-based routing, status-based routing, campaign-based routing,
https://appsource.microsoft.com/es-es/product/web-apps/artificialsolutions1610634679270.openquestion?tab=overview
VIP call routing, or even Conversational IVR that can help direct calls to the most suitable agent from the beginning, minimizing the need for transfers.
Conversational IVR
Leveraging this technology enables contact centers to capture caller intent more effectively. Instead of navigating through a list of options, customers can state their reason for calling, and Natural Language Understanding (NLU) interprets their speech, routing them to the most relevant agent.
Learn how Telefónica Germany
https://www.teneo.ai/learning-hub/conversational-ivr-case-studies/telefonica
reduced call transfers and increased IVR resolution rate, here.
https://vimeo.com/836242076
No-Code Platforms for Reducing Call Transfers
Simplify the process of setting up automation for improved call routing techniques. These platforms eliminate the need for extensive coding and allow easy integration of services to optimize call transfers.
Improve Self-Service Options
Enhance self-service channels such as interactive voice response (IVR) systems,
https://www.teneo.ai/blog/interactive-voice-response-ivr
chatbots, and knowledge bases. By providing customers with relevant and accurate information upfront, you can reduce the need for them to speak to an agent and potentially eliminate the need for a transfer.
Agent Training and Knowledge Base
Invest in comprehensive training programs for agents to equip them with the skills and knowledge required to handle a wide range of customer inquiries. Additionally, create a robust knowledge base that agents can refer to during calls, reducing the likelihood of transfers due to insufficient information.
Customer Feedback and Analysis
Regularly gather feedback from customers regarding their experience with your contact center. Analyze the feedback to identify recurring issues that lead to transfers and take proactive measures to address them. By understanding customer pain points, you can make targeted improvements to decrease call transfers.
Learn how Telefónica Germany reduced call transfers and increased IVR resolution rate, here.
https://www.teneo.ai/learning-hub/conversational-ivr-case-studies/telefonica
Monitor and Optimize Call Metrics
Continuously monitor call metrics such as call duration, transfer rate, and resolution rate. Identify patterns and trends that indicate opportunities for improvement. Set performance goals for reducing transfers and regularly assess progress towards those goals.
Use AI-Powered Analytics
Leverage AI and machine learning to analyze customer interactions and identify patterns that lead to transfers. AI-powered analytics can provide insights into the root causes of transfers and enable you to take proactive measures to address them.
Real-World Examples for Improved Call Routing
Telefónica Germany
Telefónica implemented the OpenQuestion
https://www.teneo.ai/solutions/openquestion
solution to enhance customer engagement and support across multiple channels. OpenQuestion provided real-time answers, personalized experiences, and omnichannel interactions.
- OpenQuestion handled almost one million voice-based requests per month, along with 200,000 customer requests via SMS and WhatsApp.
- The solution supported the creation of over 400 generic use cases and 20 personalized use cases.
Swisscom Reduces Call Transfers
OpenQuestion served as the first point of contact for Swisscom customers across four languages. It expanded products and services while improving the customer experience. Results achieved include:
- Ensuring natural and continuous conversation beyond simple Q&As.
- Efficiently resolving simple customer requests through easy self-service.
- Assigning inquiries quickly and accurately, resulting in improved customer satisfaction.
Learn more, here.
https://www.teneo.ai/learning-hub/conversational-ivr-case-studies/swisscom
Global Top 3 Technology Provider
OpenQuestion saved agent call time by referring 55% of callers to web resources and reduced misrouted calls from 60% to 30%.
Additional achievements include:
- Decreasing Average Handle Time by two minutes per call.
- Reducing customer friction due to multiple transfers.
- Achieving a call containment average of around 60%.
Learn more, here.
https://www.teneo.ai/learning-hub/conversational-ivr-case-studies/csg
Global Healthcare Tech Company
OpenQuestion replaced the traditional keypad navigation system with an intuitive and user-friendly interface.
Results achieved include:
- Reducing call misrouting by 90%.
- Decreasing the call workload in contact centers by 8%.
- Full integration with existing tech stacks and deployment to handle full traffic within 90 days.
Reducing call transfers is essential for improving customer experiences and optimizing contact center operations.
By implementing better call routing techniques, leveraging conversational IVR,
https://www.teneo.ai/blog/what-is-conversational-ivr
and utilizing no-code platforms, businesses can minimize call transfers and provide exceptional customer experiences.
Best practice examples such as Telefónica Germany, Swisscom, a large software company, and a global healthcare tech company demonstrate the effectiveness of AI-powered solutions like OpenQuestion in addressing this challenge.
By following these best practices and leveraging AI-driven customer
https://www.teneo.ai/blog/how-generative-ai-unlocks-new-possibilities-in-a-contact-center
service tools, businesses can decrease call transfers and provide exceptional customer experiences. Remember that continuous monitoring, analysis, and adaptation are crucial for long-term success in reducing call transfers and enhancing the customer experience.
Customer Experience With Ai Telephony Self Service.
Streamlining Customer Experience with Telephony Self-Service: Challenges and Solutions.
Source
https://www.teneo.ai/blog/customer-experience-with-ai-telephony-self-service
June 19, 2023
In today’s digital era, the voice channel continues to play a crucial role in customer communication, defying predictions that it would diminish in importance. Voice calls remain the most convenient and efficient communication channel. And with new technologies impacting telephony self-service, major developments are possible.
Additionally, customers’ expectations for quick and efficient service continue to rise, while concerns about identity theft have heightened their confidence in the voice channel. As businesses strive to enhance customer experience, protect personal information, and manage costs, automated voice-based solutions, such as telephony self-service, have become widely adopted.
The Importance of Interactive Voice Response (IVR):
Interactive Voice Response (IVR) serves as a key component of telephony self-service, employing touchtone (DTMF) or automated speech recognition (ASR) technologies. IVR performs essential functions, including call routing, caller identification, customer segmentation, and complete customer service interactions without human agent involvement. Implementing IVR enables businesses to reduce costs, improve customer service, and ensure operational efficiency.
Advantages and Disadvantages of Telephony Self-Service:
Telephony self-service offers significant advantages, such as cost reduction, freeing agents from repetitive tasks, shorter queue times, and enhanced customer satisfaction. However, it also presents challenges, including inflexibility, long-winded menus, perceived low customer value, and increased session abandonment rates. To address these drawbacks, businesses should focus on designing user-friendly IVR menus, finding the right balance between self-service and live agent support, and providing clear exit paths to human assistance.
Harnessing Speech Technology and Cloud-Based Solutions:
While DTMF IVR has proven successful, automated speech recognition (ASR) provides greater flexibility and functionality, bridging the gap between digital and voice interactions. Despite initial cost and ongoing support considerations, cloud-based solutions offer an alternative by reducing upfront investment and providing on-demand access to telephony resources. These solutions overcome capital investment hurdles and offer operational flexibility without additional costs for system upgrades.
Unlocking the Potential of Telephony Self-Service:
Telephony self-service adoption varies across sectors, with finance and the public sector leading the way. Large contact centers are more likely to offer telephony self-service compared to mid-sized and small centers. On average, about 33% of calls are handled entirely through self-service without agent involvement. However, not all calls are suitable for self-service, as complex inquiries or customer preferences for human assistance may require live agent support.
Enhancing Customer Adoption and Experience:
Introducing OpenQuestion,
https://www.teneo.ai/solutions/openquestion
an advanced AI IVR solution for smart call routing and contact center transformation. Powered by Teneo,
https://www.teneo.ai/product/why-teneo
OpenQuestion streamlines customer interactions and improves operational efficiency with its easy module installation.
How OpenQuestion Works:
OpenQuestion utilizes cutting-edge AI technology, including Teneo’s patented Linguistic Modeling Language (TLML)
https://www.teneo.ai/solutions/openquestion/accuracy-booster
and conversational context understanding. By asking the question, “How can I help you today?” OpenQuestion intelligently routes customers to the most suitable agents, reducing average handling time and providing agents with relevant information before they pick up the call.
Cost-Effective and Simple Installation:
OpenQuestion offers a cost-effective and simple installation process. Its subscription model ensures you pay only for what you use, based on a basic fixed cost and call volumes.
The Impact of OpenQuestion:
Numerous organizations have experienced significant benefits after implementing OpenQuestion.
A global top 5 tech company projected a $39 million return on investment, along with a 30% reduction in misrouted calls and a 2-minute decrease in average handling time.
OpenQuestion replaced failing keypad navigation, improving overall customer satisfaction.
12 Children Die From Gun Violence Each Day In America – Siyata Mobile Offers A Solution To Help Fight The Crisis.
Source
https://www.benzinga.com/markets/penny-stocks/23/06/32920068/12-children-die-from-gun-violence-each-day-in-america-siyata-mobile-offers-a-solution-to-hel
by Johnny Rice, Benzinga Staff Writer
June 20, 2023 7:49 AM
Sadly, recent years have shown us that the places that should be safest, aren’t. Schools across the country have seen a rise in horrific mass shootings, violence between students and violence aimed at teachers. Each day, 12 children die from gun violence
https://www.sandyhookpromise.org/blog/gun-violence/facts-about-gun-violence-and-school-shootings/
in America, with another 32 shot and injured. In fact, gun violence is the leading cause of death among American children and teens, and 2022 saw the most school shootings since the Columbine tragedy. This has caused a culture of fear to become pervasive nationwide.
To address these concerns and make schoolchildren safer, Siyata Mobile has teamed up with CrisisGo to create a solution that provides superior communication and enables a higher level of safety and security. Siyata has integrated CrisisGo’s advanced safety platform with Siyata’s latest Push-to-Talk (“PTT”) handset, the SD7.
Siyata Mobile develops and markets communication solutions for everyone from first responders to government agencies. Its handsets are designed to be rugged and highly reliable, making them ideal for situations that are less than ideal.
For school safety, one of the most critical features of the Siyata SD7 PTT handset is the SOS panic button, which provides a simple, easy-to-use solution for instant communication.
CrisisGo, whose platform is integrated with the SD7, is a leading safety platform & emergency solution trusted by over 16,000 schools.
The SD7 and CrisisGo integration provides five key features that keep kids safe:
Send Alerts:
Three clicks of the SD7’s SOS button will send a “staff alert” while seven clicks sends a “lockdown alert”. Users also have the ability to record up to twenty seconds of a voice message to be packaged with their alert.
Receive Alerts:
When an alert goes out, other users will automatically be made aware of whatever emergency is happening. The alert – and any associated voice message – is played automatically. This means that critical information is quickly disseminated to everyone.
Check In:
When a Check In is sent to a handset, the SD7 plays a notification tone and vibrates for 10 seconds, displaying the Check In question and one of the options on the OLED screen. Users can turn the SD7’s knob to switch to show other options for check-in questions and press down on the knob to select the option shown on the screen for submission.
Receive Messages:
When a text or audio message is sent to a handset, the SD7 handset plays a notification tone, vibrates for 10 seconds, and displays the message content or notification on the screen. Users can press down on the knob to play audio, stop playing, or remove the audio message from the SD7.
Safety iControl Access: Users can access Safety iControl, the smart command center for school administrators to initiate, manage and monitor safety activities. This feature allows users to send alerts, check-ins and text messages, escalate and share with external first responders or communities, manage school maps and resources and view real-time situations on GIS.
The features of the SD7 handset make it a critical tool in making schools safer. It represents a huge step forward compared to the legacy devices currently on the market, making ease of use a top priority. Hopefully, these handsets will be an unnecessary precaution, but preparing for the worst means that if it comes, the best outcomes can be achieved.
Siyata Mobile Teams with Mobile Tornado to Offer Leading Push-to-Talk Over Cellular Application on SD7 Handset.
Source
https://finance.yahoo.com/news/siyata-mobile-teams-mobile-tornado-120000076.html
June 20, 2023
Siyata Mobile Inc. (NASDAQ:SYTA), a global vendor of Push-to-Talk over Cellular (PoC) devices and cellular signal booster systems, today announced that Mobile Tornado Group Plc (MBT.L), a leading provider of critical communications solutions for Tier 1 Mobile operators, will offer its robust Push-to-Talk application on Siyata Mobile's SD7 Handset.
Headquartered in the United Kingdom, Mobile Tornado offers a robust range of telecom solutions comprised of Industry leading Push-to-Talk over Cellular and Workforce Management, all geared towards improving the productivity and performance of its commercial customers.
Marc Seelenfreund, CEO of Siyata, stated, "Following the success of the first integration which encompassed our UV350 In-Vehicle device and Mobile Tornado's Push-to-Talk solution, we are pleased to expand our relationship and provide our SD7 handsets as an additional platform for their Push-to-Talk solution for first responders and enterprise customers. We are continuing to expand our ecosystem of PTT application partners to increase sales opportunities and grow our business."
Shahar Doron, Managing Director for Mobile Tornado Labs commented, "Mobile Tornado is pleased to work with an innovative company like Siyata Mobile to offer our technology across their unique Push-to-Talk devices for our mutual customers. We are excited to integrate our Push-to-Talk solution with another one of Siyata's industry leading handsets."
https://mobiletornado.com/
The Impact of Generative AI on Customer Service.
Source
https://www.teneo.ai/blog/the-impact-of-generative-ai-on-customer-service
June 15, 2023
How to use AI in Customer Service with new innovations, such as Large Language Models and generative AI.
This article explains the transformative potential of generative AI, particularly its ability to amplify the quality of customer service and enhance operational efficiency for businesses.
Improving Customer Service through AI
Customer service excellence remains a cornerstone of successful business operations. In this context, generative AI is breaking new ground, providing businesses with AI-powered customer service bots to cultivate stronger customer relationships, fuel customer loyalty, and create brand advocates.
Generative AI is projected to dramatically increase company productivity, with some estimates predicting an uplift of up to 40% by 2035. By automating routine tasks, generative AI provides customer service agents the bandwidth to handle more intricate issues, requiring a human touch.
One of the primary applications of AI in customer service is chatbots. AI-powered bots can interact with customers on behalf of the company, responding to customer queries and requests in a human-like manner, thanks to natural language understanding. Businesses have been steadily adopting chatbots, incorporating them into their service models to answer customer questions and automate routine tasks.
For instance, businesses use chatbots to handle routine queries such as delivery dates, balance owed, and order status. The use of advanced technologies, including Conversational AI, NLU, TLML,
https://www.teneo.ai/solutions/openquestion/accuracy-booster
and machine learning, enables bots to respond to customer support requests instantly, dramatically improving the customer service experience.
Benefits of AI in Customer Service
Generative AI has the capability to manage straightforward tasks such as addressing customer queries. This alleviates the workload of customer service teams, enabling them to dedicate more time to value-adding tasks and nurture deeper relationships with customers.
Blending Generative AI into Existing Service Tools
Generative AI can be seamlessly melded with existing service tools and IVR applications. By integrating with platforms like?Amazon Connect, Genesys Cloud CX,?Google Cloud,?Microsoft, businesses can offer an AI-powered conversational experience that resolves service requests rapidly with plugins, thereby enhancing customer satisfaction.
The Future of Customer Service with Generative AI
Generative AI’s power lies in its ability to automate mundane tasks, provide immediate responses, and maintain 24/7 service availability.
It promises to offer unparalleled benefits to businesses and customers alike. By enriching and automating customer service delivery, generative AI empowers agents to focus on complex, human-centric issues.
Join the generative AI revolution in customer service. Sign up for updates and stay ahead of the competition!
The adoption of LLM is a transformative step towards improving online customer experiences, retention rates, and even generating revenue. Businesses that effectively leverage this technology will undoubtedly reap the benefits in the form of improved customer satisfaction and increased operational efficiency.
As we move forward, GPT and others will continue to reshape the landscape of customer service, opening new avenues for innovation and growth. An example of this revolution is OpenQuestion,
https://www.teneo.ai/solutions/openquestion
a tool that enables contact center transformation with a straightforward plugin, from an IVR to a Conversational IVR.
With the help of GPT, OpenQuestion adopts a smart approach to call routing. It begins interactions with the simple question,
“How can I help you today?”
This approach not only personalizes the customer interaction but also ensures the swift routing of customers to the most suitable agent. As a result, the average handling time reduces, and call agents are provided with a clear summary of relevant information.
Generative AI is not just a fancy tech buzzword; it’s a game-changer for customer service. By automating routine tasks and providing immediate, personalized responses to customer queries, it allows businesses to deliver exceptional customer experiences and boost their bottom line.
Improve customer experiences and increase operational efficiency with generative AI and request a demo now
https://www.teneo.ai/contact
or watch how Telefónica achieved IVR transformation with Teneo/OpenQuestion here.
https://vimeo.com/836242076
Teneo.ai Launches Conversational IVR Plugin for Amazon Connect.
Source
https://www.teneo.ai/blog/teneo-ai-launches-conversational-ivr-plugin-for-amazon-connect
June 14, 2023
Teneo.ai,
https://www.teneo.ai/
a global leader in the field of contact center automation, announces the launch of its latest plugin that seamlessly integrates the Conversational IVR solution, OpenQuestion,
https://www.teneo.ai/solutions/openquestion
with Amazon Connect.
https://www.teneo.ai/solutions/partners/teneo-for-amazon-aws-connect
This groundbreaking integration empowers Amazon Connect clients to optimize efficiency, enhance customer experience and streamline call routing, leading to significant cost reductions.
Advancing Conversational IVR Solutions with Best-in-Class Integration
Building on the success of their OpenQuestion integrations for
Genesys Cloud CX,
https://www.teneo.ai/solutions/partners/teneo-for-genesys-cloud-cx
Google Cloud,
https://www.teneo.ai/solutions/partners/teneo-for-google-cloud
Microsoft,
https://www.teneo.ai/solutions/partners/microsoft
and GPT, Teneo.ai continues to showcase its commitment to providing robust and scalable Conversational IVR solutions. By seamlessly orchestrating top contact center platforms and technologies, Teneo.ai enables Amazon Connect customers to elevate their Key Performance Indicators (KPIs) by reducing misrouted calls, IVR abandonment rates, and enhancing service levels, automation, and Customer Satisfaction (CSAT). With just a few delivery sprints, AWS Connect implementations will experience heightened efficiency and offer customers an unparalleled experience.
Revolutionizing Call Routing with OpenQuestion
OpenQuestion, powered by Teneo’s award-winning SaaS platform, revolutionizes call routing by replacing outdated touch pad-based and voice-based IVR menus with advanced conversational routing and automation. With support for 86 languages and dialects, OpenQuestion seamlessly integrates with the Amazon Connect ecosystem, providing organizations the opportunity to enhance their Lex investments, boost service levels, and accelerate time-to-value.
Streamlined Omnichannel Experiences for Maximum ROI
For organizations seeking omnichannel experiences, Teneo’s solutions deliver unified interactions across languages and channels, maximizing return on investment (ROI). Leveraging the power of Amazon Connect, OpenQuestion ensures accurate user routing to the right agent through natural conversations powered by Artificial Intelligence (AI). This approach establishes a strong foundation for end-to-end automation, benefiting businesses such as Telefónica
https://www.teneo.ai/learning-hub/conversational-ivr-case-studies/telefonica
and Swisscom,
https://www.teneo.ai/learning-hub/conversational-ivr-case-studies/swisscom
which have witnessed remarkable improvements in their contact center KPIs, including an 18-point increase in Net Promoter Score (tNPS), 39 million in ROI, and a 90% improvement in intent recognition.
Features of OpenQuestion’s Conversational IVR Solution
OpenQuestion’s out-of-the-box Conversational IVR solution offers a range of powerful features designed to enhance customer experience and optimize contact center performance:
OpenQuestion’s out-of-the-box Conversational IVR solution offers:
- Pre-built flows for direct routing and conversational clarification when users don’t provide sufficient information.
- FAQ and common situation handling such as empty inputs, nonsense, user-requested repetition and very long inputs.
- Callback functionality, sentiment analysis and summarization before handover to the agent.
- Positively impacts key contact center KPIs by increasing NPS and automation while reducing misroutes, redials and transfers between agents.
Mykola Sochynskyi, Global Partner Manager of Artificial Solutions, said:
https://www.linkedin.com/in/msochy/
As voice remains the preferred channel for customers to reach customer service, and concurrently is the most expensive one to maintain, the Teneo.ai team is investing in expanding native connectors with market leaders like AWS Connect. This connector has been warmly welcomed by our customers and delivery partners.
Discover how OpenQuestion can enhance NPS, increase automation, and reduce redials by visiting
https://www.teneo.ai/solutions/partners/teneo-for-amazon-aws-connect
Chinasoft International Appeared at the First GITEX Africa and Joined Hands with Huawei to Promote Africa's Digitalization Process.
Source
https://www.chinasofti.com/news/2682.htm
June 13, 2023
----------------------------------------------------------------------------------
Sun Jiawei of Chinasoft International: Deep integration of "government-enterprise + GPT" brings innovation opportunities in the software industry.
Source
https://www.chinasofti.com/news/2683.htm
June 13, 2023
----------------------------------------------------------------------------------
Shenzhen special session on June 17|Chinasoft International Education invites you to participate in the "From lean manufacturing to industrial digital innovation and development summit forum".
Source
https://www.chinasofti.com/news/2684.htm
June 13, 2023
----------------------------------------------------------------------------------
Chinasoft International joins the Cloud Native Working Committee to promote open source and business symbiosis and win-win with cloud native advantages.
Source
https://www.chinasofti.com/news/2685.htm
June 13, 2023
----------------------------------------------------------------------------------
Accelerate domestic production to take root in open source?ChinaSoft International's various domestic application products made a wonderful debut.
Source
https://www.chinasofti.com/news/2686.htm
June 13, 2023
FORM F-1 Registration No. 333-272512
Source
https://www.sec.gov/ix?doc=/Archives/edgar/data/0001649009/000121390023049032/ea180052-f1a1_siyata.htm
June 14, 2023
WIMI (NASDAQ:WIMI) Develops Artificial Intelligence Natural Language Generation (NLG) System to Optimize Content Marketing.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001glii?from=finance
June 13, 2023
In recent years, with the popularization of the Internet and the acceleration of digital transformation of enterprises, SEO (Search Engine Optimization) has become a key technology for enterprises to improve brand awareness and expand customer base. SEO needs to rely on high-quality website content, and handcrafted content is undoubtedly time-consuming, laborious and inefficient. In order to solve this problem, WIMI developed "Natural Language Generation SEO" to solve this problem. WIMI uses NLG technology to perform semi-automated search engine optimization (SEO) methods for customers' website landing pages, helps customers draft content to support content marketing, and thus greatly reduces the cost of SEO projects and improves ROI (Return on Investment). With the advancement of natural language generation (NLG) technology, technologies such as digital voice assistants and chatbots are developing rapidly. More and more businesses are adopting natural language generation (NLG) technology to support content marketing and optimize SEO results.
The specific implementation process of this semi-automatic method is as follows:
- First, input the website pages that need SEO into the system, and the system will automatically generate basic content. These will be simple descriptions that tell what the page says in terms of relevance and grammar. SEO experts will then review and revise the generated content to ensure its relevance and accuracy.
- Next, use NLG technology to generate more detailed and unique content for the page. During this process, the system analyzes keywords and target audience, and generates highly readable and high-quality content.
- Finally, an SEO expert double-checks and revises the text to ensure its quality and relevance.
WIMI can quickly create high-quality SEO content by using natural language to generate SEO, while avoiding the high cost and low efficiency of manual SEO content. Apart from this, adopting NLG technology also helps to create more attractive and unique content, which is crucial for improving website ranking and attracting more users.
WIMI uses the most advanced NLG semi-automated method and proves that content writing machines can create unique, human-like SEO content. By comparing with traditional human-written SEO text, it was found that modified machine-generated text was almost indistinguishable from text authored by SEO professionals in many human perception dimensions, and SEO content generated using NLG outperformed professional in search engine rankings content created by professionals, while also dramatically reducing the production costs associated with content marketing and increasing ROI.
The technical implementation process of using natural language generation (NLG) technology to support content marketing and optimize SEO results can be divided into the following steps:
Data collection and preparation:
Collect data related to specific fields, including keywords, industry terms, product descriptions, etc. This data will be used as input for training NLG models and generating SEO content.
NLG model training:
Train an NLG model using machine learning and natural language processing techniques. Commonly used methods include neural network-based models such as recurrent neural networks (RNN) or Transformer models. During training, the model learns language patterns, grammar rules, and contextual understanding.
Content generation and optimization:
Use the trained NLG model to generate SEO content. According to pre-set rules and goals, input relevant information and keywords, and the NLG model will generate texts that meet SEO requirements. Generated text can include titles, descriptions, body text, and more.
SEO Content Evaluation:
The generated SEO content is evaluated to ensure its quality and readability. Grammar, spelling, and keyword usage accuracy checks can be done using natural language processing techniques and SEO tools. In addition, human evaluation can be utilized to measure the readability of content and how well it fits the target audience.
Optimization and modification:
According to the evaluation results, optimize and modify the generated SEO content. It can be adjusted for specific keywords to ensure that the content matches the requirements of the search engine algorithm. This process may require several iterations until the resulting SEO content is of the desired quality and effect.
SEO Content Publishing and Tracking:
Publish optimized SEO content to relevant web pages or articles, and track its performance in search engine rankings. Evaluate the effectiveness of NLG-generated SEO content for SEO by monitoring ranking changes and traffic growth, and make necessary adjustments and improvements.
However, it’s worth noting that despite the remarkable results of natural language generation SEO in improving efficiency and reducing costs, there are still some challenges and limitations. The development of NLG technology requires continuous research and innovation to improve the accuracy of language understanding, the quality of data training, and the ability to protect privacy. In addition, manual editing and optimization of generated content is still necessary to ensure its quality and consistency with the brand image.
With the continuous advancement of technology, WIMI's NLG system will become more intelligent and realistic, capable of generating more accurate and personalized SEO content. However, challenges include the accuracy of language understanding, the quality of data training, and privacy protection. Further research and innovation will be key to advancing the application of NLG technology in the field of content marketing.
With the continuous advancement and development of technology, natural language generation SEO is expected to become an important tool in the field of content marketing. Not only does it improve your business' competitiveness and search engine rankings, it also improves user experience and saves time and resources. Leveraging natural language generation SEO techniques to support content marketing and optimize SEO results will become an essential strategy for businesses looking to succeed in the digital age. WIMI holographic natural language generation SEO will continue to be committed to innovation and optimization to provide customers with more efficient and high-quality content marketing solutions. With the continuous development of NLG technology, it will become an important tool in the field of content marketing, helping enterprises to achieve greater success in the highly competitive market.
WiMi to Develop A Multimodal Information Fusion Detection Algorithm Based on GANs.
Source
https://finance.yahoo.com/news/wimi-develop-multimodal-information-fusion-120000958.html?guccounter=1
June 12, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it is developing a multimodal information fusion detection algorithm based on generative adversarial networks(GANs). The multimodal information fusion detection algorithm is a method to improve detection accuracy and robustness by fusing data from different sensors or modalities using a GAN. It is implemented by training two neural networks, a generator and a discriminator, where the generator is responsible for generating false data samples, and the discriminator is responsible for distinguishing between accurate and inaccurate data. The two networks compete with each other for learning until the generator can produce sufficiently realistic data, and the discriminator cannot differentiate between true and false.
In multimodal information fusion detection, data from different sensors or modalities, such as image, sound, and text, can be fused and processed to obtain more comprehensive and accurate detection results. The generator uses local detail features and global semantic features to extract source image details and semantic information. Perceptual loss is added to the discriminator to make the data distribution of the fused image consistent with the source image, which improves the accuracy of the fused image. The fused features enter the interest pool network for coarse classification, the generated candidate frames are mapped to the feature map, and finally, the fully connected layer completes the target classification and localization.
GANs have inherent advantages in image generation, allowing unsupervised fitting and approximation of accurate data distributions. Using generators and discriminators for adversarial purposes allows fused images to retain richer information, and the end-to-end network structure no longer requires the manual design of fusion rules.
The technical process of the GANs-based multimodal information fusion detection algorithm studied by WiMi includes data preprocessing, GANs model training, model testing, result evaluation, and optimization and improvement. Data from different sensors or modalities, such as image, sound, and text, are fused for fusion processing, improving target detection accuracy and robustness. In addition, the end-to-end trained GANs can enhance the complementarity and redundancy between multimodal information features after fusing them to improve the accuracy of target detection and classification based on fused elements.
The multimodal information fusion detection algorithm treats the whole image fusion process as adversarial between a generator and a discriminator. For each modality, a generator and a discriminator can be trained separately. Then, by combining the generated results of multiple modalities, a more accurate and comprehensive detection result can be obtained.
Multimodal information fusion detection algorithm based on GANs is one of the fast-developing research directions in recent years. Much related research has been applied in different fields, such as intelligent surveillance, speech recognition, medical image analysis, industrial inspection, etc.
In the future, WiMi will further explore how to fuse more sensors and modalities to improve the fusion effect and applicability range. At the same time, WiMi will investigate how to adopt more efficient GAN structures and enhance model performance through more effective training methods. In addition, WiMi also considers combining this technique with deep learning to improve the accuracy and robustness of detection further. In conclusion, the multimodal information fusion detection algorithm based on GANs has many application prospects and is a research direction worthy of attention and in-depth study.
WIMI Holography (NASDAQ: WIMI) launches high-resolution image automatic registration technology based on feature space objects.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001glao?from=finance
June 12, 2023
Automatic registration of high-resolution remote sensing images (HRRSIs) has been a challenging problem due to local deformations caused by different shooting angles and lighting conditions. In order to solve this problem, WIMI has proposed a new method based on feature space object (CSO) extraction and matching. First, the CSO and its localization points on the image are automatically extracted using the Mask R-CNN model. Then, each object and its nearest neighbors are encoded by an encoding method based on object category, relative distance and relative orientation. Next, a code matching algorithm is applied to search for the most similar object pairs. Finally, object pairs are filtered by position matching to construct the final control points for automatic image registration. Experimental results show that the proposed method outperforms traditional optimization methods based on local feature points in terms of registration success rate.
With the continuous development of remote sensing technology, the automatic registration of high-resolution remote sensing images (HRRSIs) has been a serious challenge. Different shooting angles and lighting conditions will cause local deformation of the image, which brings difficulties to data processing and analysis. It is reported that WIMI has launched a high-resolution image automatic registration technology based on feature space objects. Provide reliable information support in areas such as monitoring, urban planning, and agricultural management.
The core of this technological innovation is an automatic registration method based on feature-space objects (CSO). Traditional image registration methods usually rely on grayscale registration, transform domain registration or feature point-based registration, but these methods are very sensitive to grayscale, rotation and deformation, and are computationally intensive, making them unsuitable for automatic registration. WIMI holographic technology adopts a brand-new idea, and achieves more accurate registration results by using the Mask R-CNN model to automatically extract CSO and locate its position.
First, the image is scanned using the Mask R-CNN model, and the CSO and its positioning points on the image are automatically extracted. The accuracy and efficiency of this step is based on the accumulation of research and innovation in the field of computer vision by the WIMI Holographic team for many years. Subsequently, each extracted CSO and its nearest neighbors are encoded according to object category, relative distance and relative orientation. The encoded feature vectors provide the basis for subsequent matching.
In order to find the most similar object pair, WIMI Hologram adopts advanced code matching algorithm. The algorithm determines the degree of matching by calculating the similarity between encoded feature vectors. Object pairs with higher similarities are considered as candidates for registration. Further, the initial object pairs are filtered by position matching algorithm to exclude some false matches and obtain more reliable registration results. Through this step, WIMI holographic technology can accurately capture the spatial position relationship in the image, further improving the accuracy and robustness of registration.
According to the data, WIMI's high-resolution image automatic registration technology based on feature space objects has achieved remarkable results in experiments. By testing and comparing multiple data sets, the results show that this technique is significantly better than the traditional optimization method based on local feature points in terms of registration success rate. [color=green]This breakthrough achievement will enable the remote sensing industry to perform data processing and analysis more accurately and efficiently, providing a more reliable basis for decision-making.[/color]
In addition to remote sensing image processing, this technology also has a wide range of application prospects. In the field of urban planning, automatic registration technology based on characteristic spatial objects can help planners better understand urban changes and development trends, so as to formulate more scientific urban development strategies. In terms of environmental monitoring, this technology can provide accurate image registration results, help scientists monitor and evaluate environmental changes, and provide important data support for environmental protection and resource management. In addition, in areas such as agricultural management and disaster monitoring, this technology can also play an important role, providing accurate data analysis and decision support.
At present, WIMI holographic has introduced the high-resolution image automatic registration technology based on feature space objects to the market, and is exploring application scenarios with industry partners. By integrating this technology with existing remote sensing data processing platforms and software, users will be able to easily achieve high-precision image registration, thereby improving the accuracy and efficiency of data analysis. The introduction of high-resolution image automatic registration technology based on feature space objects marks another important breakthrough of WIMI in the field of image processing. The application of this technology will have a huge impact on the remote sensing industry. In the past, image registration required a lot of time and labor, and the results were not necessarily accurate. However, WIMI holographic technology will make the registration process more automated, efficient and accurate, greatly improving the processing efficiency and quality of remote sensing data.
It can be said that WIMI based on the high-resolution image automatic registration technology of feature space objects has solved the long-standing problems in the field of remote sensing image processing. The application of this technology will provide a more reliable and accurate data basis for scientific research and practice in related fields. In addition, WIMI also plans to carry out further research and development work with industry partners. They will work on further optimizing the efficiency and performance of the algorithm, expanding the scope of application of the technology, and developing more application solutions for different fields. This will provide users with more choices and meet the needs of different industries for image processing and data analysis. It provides strong support for accurate data analysis and intelligent decision-making. The successful application of this technology will bring huge economic and social benefits to environmental protection, urban planning, agricultural management and other fields.
Siyata Mobile to Showcase SD7 Handset and VK7 Vehicle Kit at Minnesota School Bus Operators Association's Annual Summer Conference June 19 - 21.
Source
https://finance.yahoo.com/news/siyata-mobile-showcase-sd7-handset-120000620.html
June 15, 2023
Siyata Mobile Inc. (NASDAQ:SYTA, SYTAW), a global vendor of Push-to-Talk over Cellular (PoC) devices and cellular signal booster systems, today announced that it will showcase its SD7 Handset and its VK7 Vehicle Kit at the Minnesota School Bus Operators Association's ("MSBOA") Annual Summer Conference June 19 - 21. The conference is being held at the Arrowwood Resort & Event Center in Alexandria, Minnesota.
Marc Seelenfreund, CEO of Siyata, stated, "Fleet transportation represents a large and growing market opportunity for our communications solutions, and we are increasing our presence, most recently with a new order from Minnesota Coaches Inc. Our Siyata SD7 Handsets and VK7 Vehicle Kits were previously installed in a number of their buses. The feedback from Minnesota Coaches is that our solutions have already improved their driver communications and safety. MSBOA is dedicated to passenger safety and promotes the sharing of knowledge and providing industry networking opportunities at its annual conferences. We look forward to showcasing our SD7 Handset and VK7 Vehicle Kit to potential buyers at MSBOA next week."
About Minnesota School Bus Operators Association
The Minnesota School Bus Operators Association represents Minnesota's privately owned school bus contractors. It provides over 60 percent of the school buses used to transport Minnesota children to and from school and school-related activities. MSBOA's members represent an average of over 50 years of experience in the industry and are responsible for over 400,000 students transported 233,000 miles per day. MSBOA is celebrating its 75th anniversary this year. For additional information about the Minnesota School Bus Operators Association,
please visit
https://msboa.com/?
Siyata Mobile Launches New Mobile Command Center Unit.
Source
https://finance.yahoo.com/news/siyata-mobile-launches-mobile-command-120000410.html
June 14, 2023
Secures First Order from EMS Organization.
Siyata Mobile Inc. (Nasdaq:SYTA, SYTAW), a global vendor of Push-to-Talk over Cellular (PoC) devices and cellular signal booster systems, today launched its latest product, the Siyata Mobile Command Center, an all-in-one, mobile communications solution with built-in redundancy primarily for providers of Emergency Management Services ("EMS") that need to set up a mobile telecommunications command center in the field.
Marc Seelenfreund, CEO of Siyata, stated, "We are pleased to introduce the Siyata Mobile Command Center, our latest and most advanced solution for the emergency response market. This solution integrates both PoC communications and land mobile radio ("LMR") communications, as well as a ruggedized PC with two routers for connectivity with redundancy to ensure the EMS organization always has access to the right people and the right information to respond to the emergency. Emergency response providers can now have everything they need to communicate in times of emergency in a single package that can be immediately operational. We completed our first sale to an international EMS organization that has previously bought many of Siyata's products, and we are now identifying new sales opportunities for the Siyata Mobile Command Center."
The Siyata Mobile Command Center is a comprehensive communications solution that is self-contained in a ruggedized suitcase. It contains a ruggedized industrial PC with two LCD displays built right into the case, two routers with up to six SIM card slots for redundancy to ensure consistent internet connectivity during emergencies, Siyata's UV350 device for PoC calls and regular cellular calls, as well as a DMR UHF mobile radio for radio push-to-talk calls.
900 - 90 = 810 New Divices of SD7 and VK7 = $639.900 USD at least.
Minnesota Coaches https://www.minnesotacoaches.com/
citation
Siyata equipment is now operating in nearly 90 of Minnesota Coaches' fleet vehicles. When fully implemented, the Company expects Minnesota Coaches to deploy SD7 and VK7 in the balance of their fleet of over 900 vehicles.
Buy Products of Siyata at:
https://siyata7.com/all-products
Siyata SD7 Mission Critical PTT Handset NA
https://siyata7.com/all-products/siyata-sd7-na.html
PRICE: $395.00 USD
Siyata VK7 Vehicle Kit
https://siyata7.com/all-products/siyata-vk7-vehicle-kit.html
PRICE: $395.00 USD
810 Siyata SD7 Mission Critical PTT Handset NA each $395.00 USD = $319.950 USD
+
810 Siyata VK7 Vehicle Kit each $395.00 USD = $319.950 USD
= $639.900 USD
+
Possible Accessories
https://siyata7.com/all-products/accessories
Siyata Mobile Improving Fleet Communications at Minnesota Coaches.
Source
https://finance.yahoo.com/news/siyata-mobile-improving-fleet-communications-120000082.html
June 12, 2023
Enabling unlimited push-to-talk, two-way communication across North America for transportation fleet.
Siyata Mobile Inc. (Nasdaq:SYTA)(Nasdaq:SYTAW), a global vendor of Push-to-Talk over Cellular (PoC) devices and cellular signal booster systems, today announced that Minnesota Coaches, Inc., a privately-held motor coach and school bus transportation company, has taken delivery of its first Siyata SD7 Handsets and VK7 Vehicle Kits. The devices have been installed in a fleet of motorcoaches operating from seven different locations in the upper Midwest.
Minnesota Coaches is deploying its SD7 and VK7 devices to replace existing land mobile radio devices. Siyata equipment is now operating in nearly 90 of Minnesota Coaches' fleet vehicles. When fully implemented, the Company expects Minnesota Coaches to deploy SD7 and VK7 in the balance of their fleet of over 900 vehicles.
Marc Seelenfreund, CEO of Siyata, stated, "Our SD7 Handset, when used with our VK7 Vehicle Kit, is an innovative solution that improves communications, generally at a lower cost to the customer compared to more traditional, land-mobile radio technology, and upgrading to it is seamless. Siyata and Minnesota Coaches have a shared understanding of the importance and benefits of replacing radio-based solutions with our next-generation push-to-talk over cellular technology, which allows Minnesota Coaches to communicate directly with their drivers even across state lines, all on one network. We look forward to helping them realize their vision of equipping more of their state-of-the-art fleet with our innovative devices."
Seelenfreund continued, "Deployment of our products at Minnesota Coaches is a powerful testimony to the benefits that fleet operators can realize when making the decision to upgrade to push-to-talk over a cellular network. There is an expanding number of use cases for our solution beyond our traditional footprint of first responders and emergency services. Since the start of 2023, we have announced new business wins in healthcare, education, and construction, and now with Minnesota Coaches, we are increasing our presence in transportation."
Tom Severson, Minnesota Coaches' Chief Operating Officer, commented, "The PTT-enabled Siyata devices are a compelling business solution from many aspects. They enable us to improve communication at a lower cost than our existing tower-based communication solution, and importantly, they reinforce our commitment to safety first. At Minnesota Coaches, safety is our most important product. Siyata's solution allows us to communicate directly with our drivers regardless of where they are and allows our drivers convoying in multiple buses to communicate more directly with each other, as we transition from limited two-way communication to unlimited two-way communication for our fleets of buses. Our drivers no longer need to rely on cell phones. They are communicating through handheld mics that are safe, legal, and much less distracting. The professionals at Siyata have been highly responsive and dedicated to ensuring a smooth transition. We are grateful for our new partnership and look forward to introducing the service and products to our entire fleet of more than 116 motor coaches and 800 school buses over time."
Minnesota Coaches is a motor coach and school bus transportation business that has provided safe and professional transportation for its customers for more than 50 years. It is committed to maintaining a state-of-the-art fleet of vehicles at the highest industry standards. Minnesota Coaches takes great care to maintain its fleet and equip its drivers and operations team with the communications tools they need to keep passengers safe and operations running smoothly. The company's fleet travels across the United States and into parts of Canada, operating through a network of eight affiliates across the upper Midwest.
The AI Influence: Reshaping Hiring in Contact Centers.
Source
https://www.teneo.ai/blog/the-ai-influence-reshaping-hiring-in-contact-centers
June 9, 2023
In the dynamic sphere of digital transformation, Artificial Intelligence (AI), has transitioned from being a high-tech buzzword to a critical business tool.
This is especially notable in customer service, where it’s reshaping the hiring landscape and redefining call routing within contact centers.
A leading example of this transformation is OpenQuestion, a Conversational IVR (Interactive Voice Response) solution from Teneo.ai, designed to enhance customer experience with intelligent routing capabilities?.
The advent of AI has sparked crucial discussions about its potential impact on jobs within contact centers.
Despite apprehensions, AI isn’t displacing jobs; instead, it’s modifying recruitment patterns in this sector.
Insights from the upcoming Metrigy’s
https://metrigy.com/
“CX Optimization 2023-24” study validate this trend. The study suggests that enterprises not utilizing AI for customer interactions are projected to hire approximately 2.4 times more agents in 2023 than their AI-embracing counterparts.
As companies grow, so does the demand for robust customer service capabilities. The introduction of new products, services, and clients necessitates a corresponding increase in customer service representatives. However, this ‘proportional’ increase is swiftly evolving in the era of AI and intelligent routing.
AI’s influence on hiring is clear: businesses integrating AI are expected to recruit an extra 39 agents on average in 2023, compared to a surge of 91 new hires anticipated by companies avoiding AI.
These figures highlight AI’s significant impact on recruitment norms within contact centers?.
Importantly, these numbers do not suggest AI-induced job cuts. Instead, they represent how AI is revolutionizing the recruitment landscape. As a potent tool, it refines and streamlines customer service operations, allowing businesses to maintain and even enhance their customer service standards while managing growth sustainably and cost-effectively.
OpenQuestion demonstrate how Conversational AI can be a boon rather than a bane. OpenQuestion, for instance, reduces call misrouting by 90% and integrates seamlessly with commonly used tech stacks.
It has not only led to considerable improvements in customer service for high-growth companies like Telefónica, HelloFresh, and Swisscom, but it also showcases the power of intelligent routing within the contact center industry?.
In essence, the infusion of AI in contact centers is a valuable opportunity. It empowers businesses to manage their expansion effectively, maintain superior customer service, and make astute, efficient recruitment decisions.
With a vision of a world without queues, without traditional IVR systems, and with instant service, AI solutions like OpenQuestion are indeed paving the way towards this future?.
Hence, it’s time for organizations to embrace Conversational AI, Conversational IVR, and intelligent routing
https://www.teneo.ai/blog/understanding-intelligent-routing
and leverage the myriad advantages these technologies bring to the table.
Enhance Call Center Automation: Generative AI for IVR Systems.
Source
https://www.teneo.ai/blog/enhance-call-center-automation-with-generative-ai-for-ivr-systems
June 8, 2023
Interactive Voice Response (IVR) systems have long been a staple in customer service operations, serving as the first point of contact for many customers. As technology evolves and customer expectations increase, traditional IVR systems are facing a challenge in delivering more.
The answer to this challenge lies partly in leveraging Large Language Models (LLMs) to empower IVR systems.
LLMs, such as ChatGPT
https://www.teneo.ai/blog/teneo-and-chatgpt-better-together-for-conversational-ai
and
Bard,
https://bard.google.com/?hl=en
are artificial intelligence (AI) models trained on vast amounts of data to understand, generate and transform human language.
When integrated with IVR systems, large language models have the potential to significantly improve both customer experience and operational efficiency, making LLMs a promising prospect for the future of customer service operations.
Leveraging LLMs: The Next Step in Customer Service
One of the key benefits of integrating an LLM with IVR systems is the ability to utilize GTP in agent-assist scenarios.
This would particularly help newer agents ramp up quickly, providing them with concise, summarized answers they might otherwise struggle to provide.
This feature not only boosts agent productivity and reduces the potential for escalation, but it can also minimize call duration and significantly enhance the overall customer experience.
Furthermore, LLMs are employed to expand coverage and enhance precision in intent recognition within IVR systems.
Systems such as Teneo OpenQuestion integrate with LLMs, incorporating intent and entity recognition, sentiment analysis, etc., to further refine the understanding of customers’ needs and ensure accurate routing to the appropriate agent.
This reduces the time required to deploy new functionalities, update existing ones, and respond to new scenarios, enabling organizations to quickly adapt to changing customer needs.
Transforming Customer Interactions with LLMs
The integration of LLMs in IVR systems is not only about operational efficiency, but it is also designed to significantly improve the customer experience. LLMs can generate dynamic responses, making interactions more engaging and personalized.
Additionally, they have the capability to incorporate company-specific information into generated answers, adding a touch of brand flavor to customer interactions.
Systems like Teneo OpenQuestion can combine LLM analysis with its own internal mechanisms, capturing subtle conversational nuances and allowing the IVR system to adapt and clarify when necessary.
This ensures accurate transcription and minimizes misunderstandings.
Another exciting feature of LLMs is integrated machine translation. With their advanced language understanding capabilities, LLMs can provide real-time translations, facilitating seamless communication between customers, automated solutions like Teneo OpenQuestion, and agents who speak different languages.
The Challenge of LLM for a Contact Center and for IVRs
Although LLMs provide numerous benefits such as improved customer experience, operational efficiency, dynamic responses, language translation, and more, they also come with challenges.
One of the significant challenges lies in managing the subtleties and nuances of language, including handling ambiguous or unclear user queries.
LLMs struggle to accurately interpret short phrases and keywords or differentiate between similar intents with subtle differences in wording.
This can lead to misunderstandings or inaccuracies in the responses of the system’s virtual assistant or chatbot, ultimately causing dissatisfaction or frustration for the customer.
How are Challenges Solved with TLML?
The Teneo Linguistic Modeling Language (TLML)
https://www.teneo.ai/solutions/openquestion/accuracy-booster
is designed to address some of these challenges. It operates as a deterministic language understanding system that identifies and interprets word patterns in a caller’s speech.
TLML works by providing an additional layer on top of traditional machine-learned models and LLMs, facilitating precise identification of user intents where machine learning alone might have difficulties.
It can differentiate between similar intents with minor differences in wording and effectively interpret short phrases or keywords.
Moreover, TLML enables information extraction directly from a user’s response. This capability helps in better understanding the user’s needs, personalizing responses, and improving the accuracy and overall efficacy of the system.
With TLML, you can harness the flexibility and power provided by large language models, saving time in building and maintaining content. This example shows how this is achieved:
Teneo and GPT
Why does a Contact Center need TLML when working with LLMS?
Contact centers need TLML when working with an LLM because TLML enhances the capabilities of the LLM, coordinating multiple methods to achieve the highest precision and improve the overall performance of IVR systems.
By integrating TLML, the system’s comprehension and interpretation of language become significantly more precise.
TLML boosts overall accuracy by incorporating LLM capabilities to improve intent identification, making it easier to understand and respond to user needs, ensuring the system evolves smoothly as more intents and use cases are added.
TLML is a deterministic language understanding system that identifies and interprets word patterns in a caller’s speech, significantly improving the accuracy of LLM and Natural Language Understanding (NLU).
TLML capitalizes on the benefits and capabilities provided by large language models, saving time in building and maintaining content.
This allows contact centers to focus more on delivering exceptional service and less on the technical aspects of system maintenance and updates.
Accuracy Booster
For Contact Centers, TLML is available through OpenQuestion.
OpenQuestion: Revolutionizing Customer Service
OpenQuestion is a plug-in built on Teneo that revolutionizes customer service by replacing traditional keypad-based menus with natural language-based routing and automation.
It is fully integrated with major Call Center platforms such as Genesys, AWS, Google, and serves as a Conversational AI frontend, enabling callers to engage with a virtual assistant or agent that accurately routes them to the relevant queue.
Other customers can use OpenQuestion along with other AI services in their Contact Center, such as voice services like Speech-to-Text (STT) and Text-to-Speech (TTS), or even as support for other conversational AI platforms.
How OpenQuestion Works
OpenQuestion’s out-of-the-box Conversational IVR solution offers:
- Pre-built flows for direct routing and conversational clarification when users don’t provide sufficient information.
- FAQ and common situation handling such as empty inputs, nonsense, user-requested repetition, and very long inputs.
- Callback functionality, sentiment analysis, and summarization before handover to the agent.
- Impacts key contact center KPIs by increasing NPS and automation while reducing misroutes, redials, and transfers between agents.
- OpenQuestion also expands Genesys Cloud CX with ChatGPT features through the Teneo GPT connector.
- ISO and SOC2 compliance with strong privacy protection, addressing concerns missing from GPT-based chatbot platforms.
The transformative power of AI showcases the potential of such advancements in redefining customer service operations. The innovative combination of TLML and LLM in OpenQuestion provides an effective and scalable solution to enhance IVR systems and create a seamless, personalized experience for customers.
Implementing AI-powered IVR systems is not just a technological upgrade; it’s a strategic move towards revolutionizing customer service and gaining a competitive advantage.
How Generative AI Unlocks New Possibilities in a Contact Center.
Source
https://www.teneo.ai/blog/how-generative-ai-unlocks-new-possibilities-in-a-contact-center
June 7, 2023
We see the influx of Generative AI and Large Language Models
https://www.teneo.ai/blog/large-language-models-landscape
like GPT-4 transforming industries, and call centers are no exception.
The traditional IVR (Interactive Voice Response) systems have been the backbone of many call centers. However, with the onset of Smart IVR systems powered by AI, the landscape of Call Center Automation is changing rapidly.
The blockers of Generative AI in Call Center Automation
Unfortunately, standard key-pad navigation IVRs cannot harness the immense potential of AI, especially the power packed within Large Language Models.
The inability to integrate with these AI models creates a massive barrier to enhancing the customer experience and streamlining operations. This is where an upgrade to a Conversational IVR
https://www.teneo.ai/blog/what-is-conversational-ivr
system can unlock new possibilities.
The Drawbacks of Key-pad Navigation IVRs
Key-pad navigation IVRs have served us well in the past, providing a fundamental means of interaction between customers and businesses.
However, these systems lack the ability to create personalized customer interactions. For instance, they can’t comprehend natural language queries or provide context-specific responses.
This lack of personalization and understanding creates an impersonal and often frustrating experience for customers.
In contrast, a Conversational IVR equipped with AI capabilities like those of Modern IVR systems can lead to a dramatic improvement in customer satisfaction.
The Shift to Conversational IVR Systems
The integration of AI into IVR systems allows for a more natural and intuitive interaction for customers.
With AI, IVR systems can now understand and respond to customers’ voice instructions, significantly reducing the time spent on calls and increasing customer satisfaction.
Conversational IVRs are designed to simulate human-like interactions, leveraging AI technologies to understand and process natural language, understand caller intent, and deliver more personalized responses.
One such advanced Conversational IVR solution is the one offered by OpenQuestion.
https://www.teneo.ai/solutions/openquestion
OpenQuestion: Bringing AI to IVR
OpenQuestion has not just stopped at integrating AI into IVR. It has gone one step further by pre-integrating with Azure OpenAI, bringing the power of any of the GPT-model, including GPT-4,
https://www.teneo.ai/blog/chatgpt-the-future-of-customer-service-and-contact-centers
a cutting-edge Large Language Model, into the IVR system.
This integration elevates the Conversational IVR experience to a whole new level, making interactions even more intuitive, conversational, and context aware.
Through OpenAI’s GPT-4,
https://www.teneo.ai/blog/teneo-and-chatgpt-better-together-for-conversational-ai
Conversational IVR can better understand customer queries, deliver more accurate responses, and even predict customer intent based on the call’s context, such as sentiment and dialogue summary to the call center agent.
This results in more efficient call handling, reduced call duration, and ultimately, happier customers.
With OpenQuestion’s Conversational IVR solution, your business can truly embrace the future of Call Center Automation.
If you’re ready to explore how your call center
https://www.teneo.ai/learning-hub/call-center-glossary/call-center
can benefit from Conversational IVR, please contact us
https://www.teneo.ai/contact
to see the OpenQuestion solution in action.
Take your IVR to the next level with Conversational IVR and unleash the full potential of Generative AI and Large Language Models. Get started with OpenQuestion today.
Learn how one of the world’s largest healthcare used a modern IVR solution to drive next-generation call center automation, below.
WiMi Hologram Cloud (WIMI) creates a digital holographic AR-HUD solution,
Source
https://www.newstrail.com/wimi-hologram-cloud%EF%BC%88wimi-creates-a-digital-holographic-ar-hud-solution/
June 7, 2023
After years of development, AR has been applied in many fields, such as the introduction of AR filter by Snapchat (SNAP), which adds a new possibility for social entertainment; Baidu (BIDU) map has created a new model of AR innovation and launched the “walking AR navigation” function.
With the continuous improvement of AR technology, a series of new technologies and new trends have emerged and attracted wide attention. For example, AR has also shown great development potential in the automotive field. The emergence of AR-HUD has taken the car driving experience to a new level.
HUD originated in the aviation field, and GM first applied HUD in the automotive field in 1988. As the name suggests, HUD is the projection of important driving information such as speed and navigation onto the windshield, so that the driver can need to see the vehicle information without bowing his head. Its obvious features can better guarantee driving safety. With the update and iteration of the intelligent cockpit, HUD is expected to develop into the core component of intelligent cars with its excellent interactive features of “people and car, people and environment”.
AR-HUD integrates AR function based on HUD, covering a layer of digital images in the real world seen by driving so that the information projected by HUD is integrated with the real driving environment. With the continuous progress of science and technology, more and more automobile manufacturers begin to pay attention to the human-car interaction experience, making the automobile AR-HUD begin to carry richer and more delicate functions and display tasks.
On-board HUD is divided into three main categories
The onboard HUD has experienced three generations of upgrades, continuously optimized imaging quality, continuous increase of information, and greatly enhanced the sense of technology. At present, W-HUD is the mainstream in the market, and AR-HUD is accelerated for mass production.
The first generation is the C-HUD (Combiner HUD), a combined head-up display system. C-HUD uses translucent resin board as the display medium, which has the advantage of convenient installation, but the imaging area is small and the display information is less. Because C-HUD is installed on the vehicle in the form of accessories, it is easy to cause secondary injury to the driver in case of an accident.
The second generation W-HUD (Windshield HUD) windshield head-up display system, which is currently the most widely used HUD, has achieved mass production. The W-HUD uses optical reflection to project driving information onto the front windshield of the car. W-HUD shows a larger range and further projection distance than C-HUD.
The third generation AR-HUD (Augmented Reality HUD) augmented reality head-up display system is a new head-up display technology. Compared with the traditional W-HUD, AR-HUD has a large projection range and more information, which can better combine the data collected by ADAS for scene fusion. Through the superposition of digital images and real scenes, it can enhance the sense of practicality and technology of HUD.
In 2020, the market began to accelerate the iteration of W-HUD to AR-HUD. Because AR-HUD displays increased information compared to W-HUD. AR-HUD collects the data of the external environment through the front-facing radar and camera equipment, calculates the required image and data information through the AR algorithm, and then reflects the image to the windshield through the optical structure in the AR-HUD, and produces a virtual image superimposed on the real object in front of the windshield.
There is no doubt that, as one of the representative features of the intelligent cockpit, AR-HUD is expected to become the final form of HUD in future vehicles. AR-HUD technology has been attracting the attention of the industry. Some institutions expect that the market size of China’s AR-HUD industry will exceed 7 billion yuan in 2023.
Technology is a solid barrier to WiMi
On the eve of the market explosion of AR-HUD, it is reported that WiMi Hologram Cloud (NASDAQ: WIMI) is working on building AR-HUD-related products. Its light field AR-HUD has multi-faceted optical imaging capabilities, which can achieve a better AR fusion effect and a more natural visual experience. In addition, WiMi Hologram Cloud technology solutions are in rapid progress, with uHD key capabilities, to provide rich application scenarios such as instrument information display, AR navigation, safety-assisted driving, night vision/rain and fog enhancement tips, and audio and video entertainment. Project virtual images in different locations in the real world, so that real objects in different positions can visually integrate with HUD virtual images, and may become a dark horse on the track in the future.
WiMi Hologram Cloud As a leading holographic AR application technology provider, fully aware based on AR-HUD technology is gradually become the focus of auto manufacturers, years committed to through independent innovation, positive research, and development, through AR-HUD transmission to holographic AR image display various digital information, an intuitive way to guide driving, improve the intelligent experience, make AR-HUD intelligent cockpit interactive hub, to improve the safety of driving, to help reduce the risk of accident.
With the further development of AR technology, WiMi Hologram Cloud will focus on the core capability of “visual interaction” in the future, while consolidating the dominant position in the field of intelligent automotive electronics and gradually developing products with technological technology such as AR-HUD. It can be said that this is an effort and attempt in emerging industries such as autonomous driving. It is expected to form a perfect human, car, road, and network ecology, and open up a new entrance for the next generation of augmented reality Internet. In addition, WiMi Hologram Cloud will continue to focus on related fields and technologies, and further participate in the larger holographic AR industry track.
To Sum Up
The HUD market is facing a period of rapid development, and many research institutions have given the same view. On-board HUD technology has become an important trend in the automotive industry. Through HUD technology, drivers can get more driving information while maintaining attention and concentration on the road, thus improving driving safety and comfort. With the development and application of AR technology, it is believed that the AR-HUD system can be said to be a major trend in the development of intelligent vehicles in the future, and its addition also makes us full of expectations for future cars.
At present, some people point out that AR-HUD is only a transitional technology to achieve fully autonomous driving in the future. After all, after the realization of autonomous driving, the convenience of AR-HUD head display is also insignificant for users.
WIMI (NASDAQ: WIMI) develops DPCEngine to improve the efficiency of strategy evaluation through efficient density peak clustering algorithm.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001gkoh?from=finance
June 9, 2023
With the rapid development of technologies such as Industry 4.0, CPS (Cyber-Physical System), blockchain, cloud computing, and big data, and the rapid development of today's network and information security, access control has become the key for enterprises to protect data and resource security. The essential. In the context of ever-increasing security requirements for network and information systems, access control plays an important role in the field of network and information security as well as interdisciplinary topics in the Internet of Things. XACML (Extensible Access Control Markup Language) is a standard widely used in the field of access control. When the defined policy set becomes large and complex, the policy evaluation time will increase significantly, and the traditional policy evaluation methods often face performance bottlenecks. Performance for large-scale systems is a challenge. In order to solve this problem, WIMI (NASDAQ: WIMI) has developed DPCEngine, which is an efficient density peak clustering algorithm for improving the performance of strategy evaluation.
It is reported that WIMI WIMI Hologram Institute proposed a policy set clustering method based on the density peak clustering algorithm, which reduces the complexity of policy evaluation by identifying the cluster structure in the policy set. The architecture and algorithm flow of WIMI DPCEngine include key steps such as data preprocessing, density peak clustering, strategy matching and evaluation.
To evaluate the performance and effectiveness of DPCEngine, a real dataset containing a large-scale complex policy set is used for experiments. This dataset contains policies from different domains, covering a variety of access control scenarios. The data set is divided into training set and test set, where the training set is used to build the model of DPCEngine, and the test set is used to evaluate its performance.
WIMI Hologram R&D staff compared DPCEngine with traditional strategy evaluation methods, including methods based on linear search and tree structure.
Two performance metrics are evaluated:
- policy evaluation time and
- matching accuracy.
Policy evaluation time refers to the time required to evaluate an access request, while matching accuracy refers to the consistency between the matching results of DPCEngine and traditional methods.
DPCEngine has a significant performance advantage in policy evaluation time. Compared with traditional methods, DPCEngine can greatly reduce the policy evaluation time, especially when the policy set is large in scale and high in complexity. This is due to the density-peak-based clustering algorithm adopted by DPCEngine, which is able to cluster policy sets into smaller subsets, thereby reducing the search space for evaluation.
In terms of matching accuracy of WIMI's DPCEngine, the experimental results show that there is a high consistency between the matching results of DPCEngine and traditional methods. This shows that DPCEngine does not sacrifice accuracy while improving policy evaluation performance. In addition, we also conducted scalability experiments to evaluate the performance of DPCEngine under different scale policy sets. The results show that DPCEngine can effectively cope with large-scale policy sets and has good scalability. Its working process is shown in the figure.
According to the data, WIMI's DPCEngine, as a strategy evaluation engine based on the density peak clustering algorithm,
has three main functions:
- preprocessing strategy set,
- cluster strategy set and
- matching strategy.
The combined use of these functions can significantly improve the performance and accuracy of policy evaluation.
Preprocessing strategy set:
Before policy evaluation, DPCEngine prepares data by preprocessing strategy sets, making it more suitable for density peak clustering. The preprocessing process includes steps such as data cleaning, feature extraction and data conversion. Ensure data accuracy and consistency by cleaning data to remove redundant, incomplete or erroneous policy information. Avoid negatively affecting the assessment results. The feature extraction process extracts key features from the policy set, such as user roles, resource types, and operation permissions, for subsequent clustering operations. Data transformation converts the strategy set into a data representation suitable for the density peak clustering algorithm, such as a vector or matrix, for cluster analysis.
Cluster policy set:
DPCEngine uses the density peak clustering algorithm to perform cluster operations on the policy set. The density peak clustering algorithm identifies the cluster structure in the policy set by evaluating the density and distance between the policies. The algorithm determines the peak point based on the density and distance between the policies, and divides the policies between the peak points into different clusters . This enables the clustering of a large and complex set of policies into smaller subsets, each cluster representing a set of policies with similar characteristics and behavioral patterns, reducing the time and complexity of policy evaluation. The result of the cluster strategy set is a group of strategy clusters with similar characteristics and behavior patterns. This cluster strategy set method can reduce the time and computational complexity of strategy evaluation, and improve the performance and efficiency of the system.
Matching strategy:
DPCEngine uses clustering results for strategy matching. When an access request arrives, DPCEngine compares and matches it with the pre-generated policy cluster. By searching for the most similar policy in each cluster, DPCEngine can quickly determine the policy set that matches the access request. This clustering-based matching method can significantly speed up policy matching and provide accurate matching results. In addition, DPCEngine can also combine other access control technologies and rule engines to further optimize the policy matching process to ensure system security and compliance.
Through the comprehensive use of preprocessing policy sets, cluster policy sets and matching policies, DPCEngine can provide enterprises with efficient and accurate policy evaluation.
In addition, WIMI's (NASDAQ: WIMI) DPCEngine's preprocessing policy set, cluster policy set and matching policy functions cooperate with each other to provide enterprises with an efficient, accurate and scalable policy evaluation performance. By utilizing the density peak clustering algorithm and the clustering structure of policy sets, DPCEngine can achieve fast policy matching in the case of large-scale complex policy sets. This cluster-based approach reduces the time and computational complexity of policy evaluation and improves the performance and efficiency of the system.
The three main functions of DPCEngine have broad application prospects in enterprises.
- First, the preprocessing policy set function can help enterprises process and prepare huge policy data to ensure data quality and consistency. This is crucial for cleaning and transforming the data prior to policy evaluation to improve the accuracy of subsequent clustering and matching.
- Second, the Cluster Policy Set feature enables enterprises to divide large and complex policy sets into relatively smaller policy clusters with similar characteristics. This cluster operation reduces the size and complexity of policy evaluation and improves the performance and efficiency of the system. By grouping similar policies together, enterprises can match access requests more quickly and implement fine-grained management and control over policies.
- Finally, the Match Policy feature allows organizations to compare and match access requests against pre-generated policy clusters. This clustering-based matching method can quickly locate the policy set that matches the access request, improving the speed and accuracy of policy matching. At the same time, DPCEngine can be used in combination with other access control technologies and rule engines to further optimize policy matching results and ensure system security and compliance.
Currently, the preprocessing policy set, cluster policy set and matching policy functions of WIMI DPCEngine enable enterprises to efficiently evaluate access control policies. This policy evaluation engine based on the density peak clustering algorithm has broad application prospects in various industries and fields, and can help enterprises build a robust security protection system and cope with growing security challenges. With the continuous development and improvement of technology, DPCEngine will further improve the performance and accuracy of policy evaluation, and provide reliable support for enterprises to ensure the security of data and resources.
WiMi Hologram Cloud is Developing A Memristor-based Neural Signal Analysis System for Efficient BCI.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-developing-memristor-120000124.html
June 8, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it is developing a memristor-based neural signal analysis system to improve signal processing capability, response time and accuracy. Results show a significant improvement in signal processing capability.
The system employs a new computational paradigm closer to how the human brain works, i.e., a memristor-based neural network system. The memristor-based neural network is characterized by high parallelism and low energy consumption. When processing neural signals, the system uses an end-to-end data processing process. That is, the acquired raw signal is directly converted into the final control signal through pre-processing, feature extraction, and classification recognition steps, thus avoiding the frequent data transmission and computation process in traditional architectures and significantly improving the efficiency and accuracy of the system. The memristor arrays can quickly process a large amount of data because they can hold information between each neuron, thus enabling highly parallel processing. This approach is similar to how neurons in the human brain communicate, allowing for more efficient data processing. In addition, memristor-based systems also have higher energy efficiency in storing and reading data, which can significantly reduce power consumption.
Compared with the traditional von Neumann architecture, the system improves brain-computer interface signal processing and linking capabilities hundreds of times. In addition, the system employs innovative hardware architecture and algorithm optimization to efficiently process neural signals from the human brain and convert them into computer-recognizable signals for seamless human-computer connectivity.
The path and manner of implementation of this technology are as follows.
First, an array of memristors needs to be designed and prepared. A memristor is an electronic device that can change its resistance value in response to a voltage and remember previous voltage and current states. A memristor array is a circuit system consisting of many memristors that mimic the synaptic connections between neurons and record the postsynaptic potentials between neurons. The human brain's neural signals then need to be captured. Brain-computer interface technology usually uses electroencephalography (EEG), magnetic resonance imaging (MRI), and other methods to acquire neural signals. These signals are generally weak and require processing, such as signal amplification and filtering, to enhance the strength and accuracy of the signal. After the signal acquisition, data pre-processing is required, including noise removal, filtering, and feature extraction.
These steps can improve the quality and accuracy of the signal and reduce misclassification and interference. The pre-processed neural signals are fed into the memristor array for simulation. In the memristor array, each memristor represents a neuron, and the connection and synaptic strength between them can be regulated employing voltage and current, etc. The memristor array can simulate and record the postsynaptic potentials and signaling between neurons. Finally, the simulation results of neural signals are interpreted and controlled by algorithms and other means. The brain-computer interface system can control external devices such as computers and prostheses by interpreting neural signals such as brain waves and can also realize applications such as human-computer interaction. In the practical application of this system, many details still need to be considered, such as different functional requirements, differences in the source of signal letter acquisition and the environment used, and other detailed adjustments to the application of different scenarios.
WiMi's system adopts the latest technological solution to achieve efficient neural signal processing and analysis by simulating the synaptic connections between neurons through an array of memristors. This technology will lead a new revolution in brain-computer interface technology and bring a more convenient and efficient intelligent interaction experience for human beings. The system also adopts adaptive adjustment algorithms and reinforcement learning algorithms, which can quickly adjust the parameters of the neural network according to the user's operating habits and intentions, thus achieving more accurate control. In addition, the system introduces multimodal sensors and multi-source data fusion technology, which can fuse data from different sensors to improve the accuracy and robustness of the signal.
Artificial intelligence, machine learning, and brain-computer interface technologies are developing rapidly. As an emerging hardware gas pedal with low power consumption, high speed, and high accuracy, memristor arrays have a broad application prospect in neural signal analysis. The neural signal analysis system based on memristor arrays has been verified in the laboratory for several experiments and achieved excellent results. Compared with traditional brain-computer interface technology, WiMi's memristor-based neural signal analysis system has higher efficiency and accuracy and can realize more complex control tasks and interaction modes. The launch of this system will significantly impact healthcare, education, and entertainment, bringing a smarter, more convenient, and more comfortable future for human beings.
Annual Report2022 as PDF - 84 Pages
Source
https://investors.artificial-solutions.com/wp-content/uploads/2023/Annual_Report_2022_ENG_FINAL.pdf
June 6, 2023
Healthcare Tech Firm Grows Revenue 10% YOY in Q1/23.
Source
https://www.streetwisereports.com/article/2023/06/05/healthcare-tech-firm-grows-revenue-10-yoy-in-q1-23.html
June 5, 2023
This positive start to 2023 bodes well for the company turning EBITDA positive later this year, which is expected, noted an Echelon Capital Markets report.
CloudMD Software & Services Inc. (DOC:TSX.V; DOCRF:OTCQB; 6PH:FSE) announced solid Q1/23 results that "highlight emerging double-digit baseline growth," reported Echelon Capital Markets analyst Rob Goff in a May 30 research note.
"We are encouraged to see Q4/22 and now Q1/23 results support baseline organic revenue growth of about 10% with expanding gross margins," Goff wrote. "We remain bullish toward a more focused and efficient CloudMD emerging."
CloudMD offers health technology solutions on a software-as-a-service basis to North American medical practices; operates a network of interconnected medical clinics and two pharmacies; and provides cloud-based software for electronic medical records, medical billing, and practice management.
122% Possible Return
Goff noted this Canadian healthcare services firm offers investors a significant potential gain of about 122%. This is based on the difference between Echelon's CA$0.40 per share target price on CloudMD and its current CA$0.18 share price.
The company is a Speculative Buy.
Quarter Results at a Glance
Echelon calculated that in Q1/23, CloudMD achieved about 10.8% year-over-year (YOY) organic revenue growth, Goff highlighted. This figure accounts for one-time COVID-related revenues of US$4.1 million (US$4.1M) in Q1/22 and YOY reductions related to the lost Ontario iCBT program (US$2.6M) and VisionPros challenges (US$0.6M).
Because in Q1/23, CloudMD continued integrating acquisitions, including networks and back-end systems, its topline results for the quarter were largely in line with those of Q4/22. The exception was gross profit, which came in about US$0.4M higher.
Goff presented CloudMD's key Q1/23 numbers. Revenue was US$26.1M, ahead of Echelon's US$25.9M forecast but below the consensus US$27M estimate.
Gross profit was US$9.4M, above Echelon's US$9M estimate and in line with consensus expectations.
EBITDA was (US$1.6M), better than both Echelon's (US$2.4M) estimate and consensus (US$2M) projection.
Positive EBITDA on Horizon
Goff pointed out that Echelon expects the company will turn EBITDA positive in Q4/23 and cash flow positive in 2024, both potential catalysts for its stock. "As CloudMD approaches EBITDA-positive results, we believe the company will hold considerable potential for a significant valuation rerating either organically or via takeout," Goff commented.
Echelon also forecasts that by year-end 2023, CloudMD will achieve quarterly run-rate revenues that exceed US$30M and an annually recurring revenue of US$40M. Echelon forecasts annually recurring and reoccurring, or high-quality, revenues will increase to comprise a larger share, about 90%, of the mix, and gross margins to reach 36% or higher.
Echelon also anticipates CloudMD will gain material refinancing flexibility throughout 2023, noted Goff, to end the year with about US$9.5M in cash.
Estimates Raised, Upside Exists
Goff wrote that Echelon revised its full-year 2023 (FY23) gross profit and EBITDA forecasts for CloudMD, increasing the former by US$0.6M and the latter by US$1.4M.
For FY23, Echelon now estimates revenue of US$111.7M, gross profit of US$40.4M, and EBITDA of (US$3.1M).
For FY24, Echelon projects revenue of US$126.6M, gross profit of US$46.6M, and EBITDA of US$2.6M.
In addition to these expectations, wrote Goff, "We see potential upside to our baseline forecasts where CloudMD's sales pipeline stands at over US$55M in annual recurring revenue and where management indicated on its Q4/22 call (approximately one month ago) that its communicated pipeline does not consider a few potential larger deals with more nuanced procurement processes and longer sales cycles."
CloudMD Announces Leadership Change.
Source
https://finance.yahoo.com/news/cloudmd-announces-leadership-change-110000964.html
June 7, 2023
CloudMD Software & Services Inc. (TSXV: DOC, OTCQX: DOCRF, Frankfurt: 6PH) (the “Company” or “CloudMD”), an innovative health services company transforming the delivery of care, announced today that John Plunkett is transitioning to a new role as EVP, Corporate Development and Integration. Prakash Patel, currently the Chief Accounting Officer of Elevation Capital, will join CloudMD as CFO on July 11, 2023. John will remain in the role of CFO until his successor arrives.
Prakash brings senior executive experience in finance and accounting, including designing and implementing end-to-end financial reporting structures for TSX-listed companies. Most recently at Elevation Capital, Prakash was providing strategic direction and oversight of the company's finances, with a focus on building the financial planning and analysis function including the quarterly reporting process.
“Our company's continued focus on building financial strength is essential to deliver on our purpose and create long term value for our stakeholders,” said Karen Adams, CEO of CloudMD. “Prakash brings deep financial experience with a track record of implementing KPI-driven decision making and integrated financial reporting structures. He has the experience to lead our financial organization and deliver on a comprehensive financial strategy that will enable growth and a path to profitability. The Board and I want to thank John for his significant contributions over the last year in strengthening the financial position of CloudMD, and I am pleased that he will assume a new role focused on key strategic priorities to continue the acceleration of integration and profitability.”
“I am proud of the progress that we have made in improving CloudMD’s financials over the past year, driven by a refocused strategy, divestment of our non-core businesses, acquisition integration, and cost realignment across the organization. I am looking forward to focusing my attention and expertise on key strategic initiatives that will unlock value for shareholders,” said John Plunkett, CFO.
“CloudMD is a company that is empowering healthier lives and making a difference in the way people access healthcare. I look forward to joining the executive team and doing my part in continuing to strengthen the balance sheet and accelerating our path to profitability. It is a fantastic opportunity to join Karen and the CloudMD team in executing the strategic plan and delivering better health outcomes for hundreds of thousands of people,” said Prakash Patel, incoming CFO of CloudMD.
Prakash has worked at public companies including Extendicare Inc. and Brookfield Infrastructure Partners, where he was responsible for financial management. Throughout his career, he has successfully delivered profitability improvements, implemented rigorous KPI-driven strategic frameworks, and built cross-functional teams. Prakash earned a Masters degree in Accounting from the University of Waterloo and has a CPA designation.
The company reaffirms its guidance, provided on Q1 2023 earnings call dated May 30th.
FORM F-1 - REGISTRATION STATEMENT UNDER THE SECURITIES ACT OF 1933
Source
https://www.sec.gov/ix?doc=/Archives/edgar/data/0001649009/000121390023047355/ea179532-f1_siyatamobile.htm
June 8, 2023
WIMI (NASDAQ: WIMI) Releases Brain-Computer Interface (BCI) Encrypted Anonymizer Software Technology System.
Source
https://finance.sina.com.cn/tech/roll/2023-06-06/doc-imywiftk2574032.shtml
June 6, 2023
Brain-computer interface technology is a cutting-edge technology with great prospects and a broad market application base.
It has unique advantages:
it can access the neural data decoded by the brain in real time. Even sports and other activities are combined to carry out neuromodulation technology. With the rapid development of technology, mobile technology, communication and cloud computing, the brain-computer interface technology has developed rapidly, enabling us to explore things that were unimaginable a few years ago. Application scenarios, the development far exceeds expectations. Currently there are business-oriented (B2B) devices on the market, and consumer-oriented (B2C) commercial devices. Although the development of brain-computer interface technology has brought many opportunities and application prospects, it also brings Here comes some security and privacy concerns.
According to reports, in order to ensure the security and privacy protection of brain-computer interface technology, WIMI (NASDAQ: WIMI) is developing a software system brain-computer interface encrypted anonymizer to ensure user information security and privacy issues.
Brain-computer interface (BCI) technology represents a direct communication link between the brain and external devices. Recent findings demonstrate how electroencephalography (EEG) signals recorded from consumer-grade BCI devices can be used to extract private information about users. With enough computing power, this information can be used by others to infer our memories, intentions, conscious and unconscious interests, and our emotional responses.
This technology has a wide range of applications, from medical devices to gaming and entertainment. However, the use of BCIs raises security and privacy concerns because EEG signals can reveal sensitive information about a user's thoughts, emotions, and memories. Therefore, it is critical to develop techniques that ensure the privacy and security of BCI users.
Research on improving the privacy and security properties of BCI-enabled technologies involves two major steps.
The first step focuses on identifying which components of electroencephalography (EEG) signals can be used to extract private information. After identifying potential vulnerabilities, WIMI's R&D team will quantify the amount of information exposed. Based on the results obtained,
the second step was the development of software encryption tools designed to prevent the possible extraction of users' private information. The "BCI encrypted anonymizer" developed by WIMI is based on signal components, that is, the recorded brain signals can be decomposed into a collection of characteristic signal components in real time. From these components, information corresponding to the user's expected BCI commands can be extracted while filtering out potentially private information.
EEG signals are a combination of different frequencies, each with unique characteristics. The EEG signal components used for private information extraction, the EEG signal components most susceptible to private information extraction are alpha waves and beta waves. Alpha waves are associated with relaxation, while beta waves are associated with cognitive processing and attention. Thus, alpha and beta waves can reveal sensitive information about a user's emotional state, cognitive ability, and attention span.
In order to quantify the amount of information that can be extracted from EEG signals, WIMI WIMI will use the mutual information (MI) method. MI measures the amount of information shared by two variables. In this case, WIMI's R&D team will measure the MI between the EEG signal and the private information that can be extracted from it. Based on MI results, the risk level of extracting private information from EEG signals can be determined.
The BCI encrypted anonymizer developed by WIMI Hologram is a software tool that can prevent the extraction of private information from EEG signals. The tool works by decomposing the EEG signal into a set of characteristic signal components. These components are the building blocks of the EEG signal and can be used to reconstruct the original signal. However, BCI anonymizers filter out components that contain private information, allowing only those needed to control external devices. This technology aims to strengthen the development of closed-loop brain-controlled interfaces, so as to better protect the privacy and security of users. We believe that this technology will provide a safer and more reliable option for future BCI applications.
The brain-computer interface encrypted anonymizer released by WIMI (NASDAQ: WIMI) works in real time without any additional hardware or sensors. It can be integrated into existing BCI systems and customized for different applications. The tool can also be used for offline data analysis to identify potential privacy risks in existing BCI data.
The privacy and security of brain-computer interface technology is critical to ensuring the trust and acceptance of the technology by users in its future development. WIMI's technical solutions can help address security and privacy concerns by identifying EEG signal components that are susceptible to private information extraction and developing software tools to prevent their extraction. The encrypted anonymizer of brain-computer interface can improve the privacy and security of users without compromising the function of brain-computer interface system. This technology could lead to the development of more advanced brain-computer interface systems that provide real-time control of external devices without compromising user privacy. This technical solution can effectively improve the security and reliability of brain-computer interface devices, avoid data leakage and abuse, and provide better user experience and services.
WiMi Hologram Cloud Launches Its Transformer Algorithm-based WiMi AI Assistant.
Source
https://finance.yahoo.com/news/wimi-hologram-cloud-launches-transformer-120000316.html
June 5, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today launched an artificial intelligence assistant using an advanced transformer algorithm, called WiMi AI Assistant, which is built up through years of R&D and improvement. WiMi successfully applied the transformer algorithm to natural language processing, providing users with a more intelligent and efficient communication platform.
The WiMi AI Assistant has the following highlights:
- Transformer algorithm:
WiMi AI Assistant uses an advanced transformer algorithm to automatically learn and understand human language and engage in intelligent conversations with humans. The introduction of the transformer algorithm enables the assistant to handle long-distance dependencies and complex contexts better, thus improving overall language understanding.
- Natural Language Processing:
Through deep learning and big data, WiMi AI Assistant understands the user's context and needs and can quickly answer complex questions accurately. In addition, the assistant can learn and improve by itself, continuously optimizing the accuracy and efficiency of question responses.
- Personalized recommendations:
WiMi AI Assistant can provide users with customized information recommendations based on their behavior and interests. Whether it's news, music, or movies, the assistant can precisely meet users' needs and bring them a more personalized experience.
- Multiple applications:
WiMi AI Assistant can be applied in smart homes, intelligent customer service, and many other industries such as healthcare, finance, and education. This has significantly expanded the influence of artificial intelligence.
WiMi Hologram Cloud has always been committed to the R&D and application of innovative technologies. The launch of the WiMi AI Assistant is another significant breakthrough in artificial intelligence. WiMi will continue to increase its investment in R&D to provide users with more high-quality intelligent products and services.
Chinasoft International?Yibin First People's Hospital: All-round support for the high-quality development of the hospital.
Source
https://www.chinasofti.com/news/2669.htm
June 5, 2023
----------------------------------------------------------------------------------
Chinasoft International Financial Business Group's cloud-native services help financial institutions advance their digital development.
Source
https://www.chinasofti.com/news/2670.htm
June 5, 2023
----------------------------------------------------------------------------------
Adding "numbers" to move forward and share the future|Chinasoft International Education Appears at the 2023 Number Expo.
Source
https://www.chinasofti.com/news/2671.htm
June 5, 2023
----------------------------------------------------------------------------------
China's cloud professional service market exceeds expectations, and Chinasoft International continues to lead the two major service areas of cloud migration and cloud development.
Source
https://www.chinasofti.com/news/2672.htm
June 6, 2023
----------------------------------------------------------------------------------
Chinasoft International joins hands with Huachi Transportation and Shenzhen Kaihong to jointly promote digital intelligence in the highway industry.
Source
https://www.chinasofti.com/news/2673.htm
June 6, 2023
----------------------------------------------------------------------------------
Chinasoft International Appears at Huawei Global Smart Finance Summit 2023, Leveraging its Advantages to Expand GaussDB Database Capabilities.
Source
https://www.chinasofti.com/news/2677.htm
June 8, 2023
----------------------------------------------------------------------------------
Chinasoft International builds a digital base for localization of information and communication, and accelerates the implementation of open source Hongmeng commercial achievements.
Source
https://www.chinasofti.com/news/2678.htm
June 8, 2023
Chinasoft International made a wonderful appearance at the 2023 Digital Expo, creating a new future of digital and real integration.
Source
https://www.chinasofti.com/news/2662.htm
May 28, 2023
----------------------------------------------------------------------------------
Chinasoft International and Inspur reached a strategic cooperation to jointly expand the enterprise ERP market.
Source
https://www.chinasofti.com/news/2665.htm
May 31, 2023
----------------------------------------------------------------------------------
First release in China | Industry and Information Technology Talent Exchange Center and Chinasoft International have released the first domestic training standard for trusted software development engineers!
Source
https://www.chinasofti.com/news/2666.htm
June 2, 2023
----------------------------------------------------------------------------------
Strength is recognized! Chinasoft International was awarded "Excellent Partner" by Bank of Jilin.
Source
https://www.chinasofti.com/news/2667.htm
June 5, 2023
----------------------------------------------------------------------------------
Gathering numbers into peaks and win-win future|Chinasoft International attended the openGauss 2023 Developer Conference and won the first batch of certified service partners.
Source
https://www.chinasofti.com/news/2668.htm
June 5, 2023
Zacks Small-Cap Research Report with a price target of $0.75 for Siyata Mobile Inc. (SYTA)
Source
https://s27.q4cdn.com/906368049/files/News/2023/Zacks_SCR_Research_06052023_SYTA_Kerr.pdf
June 5, 2023
Enhancing School Safety with Siyata Mobile's (NASDAQ: SYTA) SD7 Handheld Device and CrisisGo Integration.
Source
https://finance.yahoo.com/news/enhancing-school-safety-siyata-mobiles-123000229.html
June 8, 2023
Over recent years, the sanctity and safety of American schools have increasingly been threatened by a growing wave of violence. Despite the assumption that these institutions should be havens of learning and personal growth, stark realities of active shooter incidents, student violence against teachers, and escalating student-on-student altercations have disrupted this perception. A trend that goes beyond mere numbers and statistics, it represents a significant shift in the climate of schools across the country, leading to profound and pressing concerns over safety and security.
In the wake of increasing safety concerns in K-12 schools across the United States, Siyata Mobile (NASDAQ: SYTA) and CrisisGo have partnered to provide a cutting-edge solution that enhances communication and safety preparedness. The integration of Siyata Mobile's SD7 handheld device with CrisisGo's safety platform offers a comprehensive solution to help schools stay connected and prepared for incidents, including active shooter situations.
Siyata Mobile and CrisisGo
Siyata Mobile is a developer and provider of communication solutions for enterprise customers, first responders, security guards, delivery/logistics companies, construction workers, and government agencies. Its products include a portfolio of push-to-talk/PTT over cellular (PoC) devices, such as rugged handsets and in-vehicle communication devices. Siyata Mobile also sells a family of cellular boosters for use in vehicles, homes, and large venues with weak signals.
The company’s SD7 handset is designed for instant communication with an SOS panic button, providing a simple, easy-to-use solution for immediate communication. The SD7 is a versatile Push-to-Talk (PTT) device that can handle everyday incidents like fights or medical emergencies, to contacting first responders. The SD7 can also initiate a lockdown of the building, meeting Alyssa's Law requirements.
https://alyssas-law.com/#:~:text=Alyssa's%20Law%20Requirements,connected%20to%20local%20law%20enforcement.
On the other hand, CrisisGo
https://www.crisisgo.com/
is the leading safety platform & emergency solution trusted by over 16,000 schools. With CrisisGo, schools can cover the entire process and workflow required for safety and emergency response, integrate the technology needed to streamline safety and connect the people who make safety happen.
Integration Capabilities of the SD7 and CrisisGo’s Platform
The integration of the SD7 with CrisisGo's platform allows users to instantly trigger a CrisisGo panic alarm and receive mass notifications without requiring an app or login. With simple clicks of the SD7 SOS button, users can trigger a Staff Assist alert or a Lockdown alert. After triggering an alert, users can record voice information (up to 20 seconds upon configuration) to send with the alert. Alert announcements and voice information will be automatically played in SD7 when an alert is sent to the device.
The SD7 handset also supports two-way communication,
https://www.crisisgo.com/siyata
allowing for more effective communication between dispatch and users. It provides an immediate, two-way connection with first responders, ensuring they have all the information needed to aid in the current crisis. This feature is particularly crucial in active shooter situations where immediate communication with first responders can save lives.
Furthermore, the SD7 handset can be used in a vehicle kit on school buses, providing precise location data and PTT abilities. This feature can be particularly useful during emergencies, allowing school dispatch to monitor the bus’s location and ensure that it stays on its designated route.
The integration allows for the following specific functionalities:
- Send Alert:
Upon CrisisGo integration, users can use the Siyata SD7 SOS button to trigger alerts. Three clicks of the SOS button trigger a Staff Assist alert, while seven clicks trigger a Lockdown alert. After triggering an alert, users will hear a notification sound from the SD7 device, and they may record voice information (up to 20 seconds upon configuration) to send with the alert.
- Receive Alert:
Alert announcements and voice information will be automatically played in SD7 when an alert is sent to the device. This feature ensures that all users are immediately aware of any emergencies and can respond accordingly.
- Check In:
When a Check In is sent to a device, the SD7 plays a notification tone and vibrates for 10 seconds, displaying the Check In question and one of the options on OLED. Users can turn the SD7 knob to switch to show other options for check-in questions and press down on the knob to select the option shown on OLED for submission.
- Receive Messages:
When a text or audio message is sent to a device, the SD7 plays a notification tone, vibrates for 10 seconds, and displays the message content or notification on OLED. Users can press down on the knob to play audio, stop playing, or remove the audio message from the SD7.
Safety iControl Access:
- Users can access Safety iControl, the smart command center for school administrators to initiate, manage, and monitor safety activities. This feature allows users to send alerts, check-ins, and text messages, escalate and share with external first responders or communities, manage school maps and resources, and view real-time situations on GIS.
Advantages of the SD7 + CrisisGo Compared to the Old LMR System
The advantages of the SD7 integrated with CrisisGo are numerous, and it represents a significant improvement over the traditional Land Mobile Radio (LMR) system. Firstly, the SD7 provides an intuitive, straightforward interface that simplifies the process of communication during emergencies. Unlike the LMR system,
https://spotlightgrowth.com/new-purchase-orders-for-sd7-rugged-device-vk7-and-other-accessories-boost-siyata-mobiles-outlook-nasdaq-syta/
which can be susceptible to signal interference, the SD7's digital interface is seamless and offers a clear, uninterrupted connection. Additionally, the SD7's integration with CrisisGo enhances its functionality by allowing for the instant triggering of panic alarms and mass notifications, a capability that the LMR system lacks.
Furthermore, the SD7's Push-to-Talk (PTT) capability allows for instant communication, a feature that is critical during emergencies. This instant communication capability far surpasses the LMR system, which often requires several steps to establish a communication channel. The SD7's two-way communication feature also enhances the flow of information between the users and first responders, ensuring they have all the necessary details in real time. Unlike the LMR system, the SD7 uses cellular networks that allow the user access to nation-wide coverage compared to limited-ranged radio networks. This means the SD7 can be used in a multitude of environments and situations, such as on school premises, on field trips, at sporting events and other locations effectively without worry of radio connectivity.
Lastly, the SD7 offers the potential for integration with vehicle systems, providing precise location data and enhancing the safety of school buses, a feature that the LMR system cannot match. Through these advancements, the SD7 and CrisisGo integration offers a modern, comprehensive solution that greatly surpasses the capabilities of the traditional LMR system in ensuring the safety of K-12 schools.
Siyata Has Secured Large Purchase Orders Recently, While Continuing to Expand its Distribution Footprint
Siyata Mobile has recently received multiple significant orders for its products and has continued to expand its distribution network. In total, Siyata has recently received orders with a combined value of $3.85 million:
In terms of recent orders, the company has announced a $1.2 million order
https://finance.yahoo.com/news/siyata-mobile-receives-1-2-120000951.html
for its UV350 In-Vehicle Devices and “Siyata Real-Time View,” from a repeat customer adding more devices to their fleet of ambulances. The 'Siyata Real-Time View'
https://www.siyatamobile.com/real-time-view/
product provides in-fleet video monitoring, offering high-resolution video that can be accessed in real-time or retrieved later via cloud storage. The video software creates a recurring revenue stream for Siyata from a license fee?.
Siyata also received a $750,000 order
https://finance.yahoo.com/news/siyata-receives-750-000-order-130000268.html
for its next-generation MCPTT (mission-critical push-to-talk) solution from an independent emergency management service (EMS) provider. This order includes the company's SD7 devices and related accessories, which will be used in a variety of mission-critical situations, including in ambulances and other emergency vehicles. The SD7 device operates over the high bandwidth 4G LTE network and is IP68 rated, making it resistant to water, dust, and drops, perfect for use in harsh environments?.
The company also secured a $900,000 order
https://finance.yahoo.com/news/siyata-mobile-expands-footprint-education-123000476.html
to supply a U.S. public school district with its SD7 handsets and accessories. This order represents the company's largest in the education market to date. The SD7 handset will provide teachers and school staff with a reliable means of communication and the ability to notify first responders in case of an emergency?.
Furthermore, a school district in the Southwest U.S. placed a $600,000 purchase order
https://finance.yahoo.com/news/siyata-mobile-receives-order-u-120000434.html
with Siyata to equip teachers with SD7 handsets and associated accessories, which will enable direct communication capabilities with first responders and other school officials.
On June 5th, Siyata received an additional purchase order of $400,000
https://finance.yahoo.com/news/siyata-mobile-announces-400-000-120000270.html
for its SD7 handsets and their associated VK7 vehicle kits. The order effectively expands the company’s SD7 footprint into the education, healthcare and construction sectors.
On the distribution front, Siyata announced a distribution reseller agreement with Two Way Direct, Inc.
https://finance.yahoo.com/news/siyata-mobile-expands-reseller-network-123000728.html
in April 2023 to offer the SD7 device nationally. In addition, Siyata has announced a global expansion into the Netherlands through a distribution deal with KPN Royal Dutch Telecom, a leading telecommunications and IT service provider in the region.
As a part of the deal, KPN
https://finance.yahoo.com/news/siyata-expands-global-distribution-next-120000498.html
will now offer the SD7 device and associated accessories through its KPN PTT service. This offering is primarily targeted at medium and large-scale government and corporate entities.
In addition to KPN, Siyata’s distribution features wireless carrier partners include AT&T, FirstNet, Verizon, T-Mobile, U.S. Cellular, Bell Mobility (Canada), and Telstra (Australia).
Fundamental Research Corp. Issues Updated Research Report
https://www.researchfrc.com/siyata-mobile-inc-nasdaq-syta-building-a-robust-global-distribution-network/
Giving Siyata a Fair Value of $0.46; Zacks Investment Research Issues Price Target of $0.75
Equity research company, Fundamental Research Corp., issued an updated report on Siyata dated May 30, 2023. In the report, the firm highlighted the strong growth that is being driven by the SD7 handheld devices. As a result, the firm reiterated its “buy” rating for Siyata and issued a fair value price of $0.46.
On an estimated basis for full-year 2023, Fundamental Research Corp. believes Siyata could generate total revenue of $10.38 million while maintaining a strong financial footing with cash estimates of $489,521, total assets of $15.01 million and working capital of $1.35 million.
For the full-year 2024, the equity research firm estimates revenues growing to $14.81 million and the company's financial position further improving: estimated cash holdings of $1.03 million, total assets of $15.69 million, and working capital of $1.86 million.
“We believe SYTA should be able to maintain its growth momentum in the coming quarters, driven by new distribution partners,” noted the equity research report.
On June 5, 2023, Zacks Investment Research
https://finance.yahoo.com/news/syta-siyata-mobile-reports-strong-111500135.html?guccounter=1
also issued an updated equity research report, after the company’s strong Q1 2023 and recent updated on new sales and distribution opportunities. As a result of the equity research firm’s discounted cash flow (DCF) model, the company has issued a new price target of $0.75 for Siyata Mobile. Fundamental Research Corp. Issues Updated Research Report Giving Siyata a Fair Value of $0.46; Zacks Investment Research Issues Price Target of $0.75
“We believe Siyata Mobile is on track to generate strong double-digit revenue growth rates going forward. We expect overall gross margins to increase steadily from current levels as volume levels increase,” according to the Zacks report.
“Based on our 2023 revenue estimates of $12.2 million, SYTA is selling at a Price/Sales ratio of approximately 0.65x. The peer group average Price/Sales ratio is 2.35x and the sector median is 2.73x. These relative valuations support a significantly higher stock price for SYTA,” Zacks analysts concluded.
Conclusion
In the face of burgeoning school safety concerns, the partnership between Siyata Mobile and CrisisGo, fusing the SD7 handheld device and CrisisGo's safety platform, presents a groundbreaking solution designed to reinforce preparedness and communication during emergencies. The integration capitalizes on the strengths of each technology, creating an intuitive and effective tool that streamlines the process of initiating a response, managing safety workflows, and enabling immediate, two-way communication with first responders.
Far superior to traditional Land Mobile Radio systems, the SD7-CrisisGo integration allows for a real-time panic alarm activation, mass notifications, and immediate communication, both in daily scenarios and critical incidents. An invaluable feature is the device's adaptability for use in school buses, augmenting safety through precise location data and push-to-talk capabilities.
Siyata Mobile's recent success in securing significant purchase orders and expanding its distribution network underscores the market's recognition of the potential these innovations carry. Notably, the $900,000 order from a U.S. public school district represents a landmark in the education sector, signifying the industry's trust in Siyata Mobile's ability to deliver reliable and efficient solutions.
Furthermore, Siyata's global expansion strategy, as demonstrated by its partnership with Two Way Direct, Inc. and KPN Royal Dutch Telecom, widens the reach of these transformative solutions. Finally, Fundamental Research Corp's "buy" rating for Siyata, along with an encouraging revenue growth projection, reflects the industry's optimism about the company's growth trajectory, largely driven by the SD7 handheld devices. Therefore, Siyata Mobile's concerted efforts towards innovative solutions for school safety represent a game-changing approach to meet the urgent needs of today's educational institutions.
WIMI (NASDAQ: WIMI) develops a bionic pattern recognition (BPR)-based convolutional neural network (CNN) image classification technology solution.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001gjlu?from=finance
June 5, 2023
In recent years, with the continuous development and application of artificial intelligence technology, image classification technology has been widely used in many fields. And with the rise of deep learning, convolutional neural network (CNN) has become the mainstream model for processing image classification tasks. CNNs recognize images by automatically extracting features from them, and classify them using the softmax function. However, due to the limitations of the softmax function, traditional CNN models have some deficiencies in image classification.
It is reported that in order to solve this problem, WIMI has developed a new image classification method that uses a hierarchical structure inspired by the animal visual system to automatically extract features from images. This method combines bionic pattern recognition (BPR) with CNN, which can make full use of the geometric structure of high-dimensional feature space, so as to achieve better classification performance, so it can overcome some shortcomings of traditional pattern recognition. The method has been validated in multiple experiments and, in most cases, achieves higher classification performance than traditional methods.
A Convolutional Neural Network (CNN) is a deep learning model specifically designed to process images. It can automatically extract features from images through convolution and pooling operations, and use fully connected layers for classification. The convolution operation refers to applying a convolution kernel (also known as a filter) to each location on the image and outputting the result as a feature map. The pooling operation refers to downsampling on the feature map to reduce the amount of computation and the risk of overfitting.
In the traditional CNN image recognition classification model, the softmax function is used for classification. The softmax function can convert a set of scores into a probability distribution, where each score represents a confidence score that the image belongs to a certain class. Traditional pattern recognition methods usually use hyperplanes in feature space to segment categories. However, this method has some disadvantages, such as requiring manual feature selection and difficulty in handling nonlinear data. In contrast, bioinspired pattern recognition (BPR) can overcome these problems by performing class recognition on geometric cover sets that are unioned in a high-dimensional feature space.
BPR is a pattern recognition method based on bionics.
Its basic idea is to use biological systems to simulate the processing of sensory information, and regard the pattern recognition process as being carried out in a high-dimensional feature space. In this high-dimensional space, each sample point is regarded as an object rather than a point. Therefore, samples of different classes are distributed in different regions in the high-dimensional feature space, and these regions are called geometric covering sets. Each geometry cover set consists of a set of geometric objects called geometric primitives, such as spheres, cones, polyhedra, etc. With a proper combination of geometric primitives, a coverage set with high classification performance can be constructed to achieve class recognition.
Research shows that WIMI combines BPR and CNN to achieve better image classification effect. Specifically, based on bionic pattern recognition (BPR) convolutional neural network (CNN) image classification, CNN features can be mapped into a high-dimensional feature space, and a geometric coverage set can be constructed in this space, and then the new sample map Go into that space and decide what category it belongs to.
According to the data, WIMI uses a mapping function to map CNN features into a high-dimensional feature space in BPR-based CNN image classification. This mapping function can be a simple nonlinear transformation such as a polynomial transformation or a radial basis function (RBF) transformation. It is also possible to use some more complex function, such as a neural network or a support vector machine (SVM), to learn this mapping function, converting the CNN features into a form that is easier to classify in a high-dimensional feature space.
WIMI Holographic CNN-BPR image classification technology uses proven geometric primitives with high classification performance in high-dimensional feature spaces, such as spheres, cones or polyhedrons, to construct geometric coverage sets. Then, we can use some optimization algorithm, such as genetic algorithm or particle swarm optimization algorithm, to search for the optimal combination of geometric primitives to construct the optimal geometric cover set. Finally, we can use a classifier, such as the K-Nearest Neighbors algorithm or a Support Vector Machine (SVM), to identify the class to which the new sample belongs.
The specific way to realize the image classification method combining BPR and CNN is as follows:
Prepare training and test datasets:
You need to collect a dataset that contains images of many different categories.
This dataset should consist of two parts:
a training dataset and a testing dataset. The training data set is used to train the CNN model, and the test data set is used to test the performance of the classifier.
Train the CNN model to extract image features:
Use the training dataset to train the CNN model and use the model to extract the features of each image. These features will be used to construct a geometric cover set in a high-dimensional feature space.
Mapping CNN features into a high-dimensional feature space:
A mapping function needs to be used to map CNN features into a high-dimensional feature space. This mapping function can be learned using some nonlinear transformation, such as polynomial transformation or RBF transformation, or using more complex functions, such as neural network or SVM.
Build a geometric cover set:
Use some geometric primitives that have been proven to have high classification performance in high-dimensional feature spaces, such as spheres, cones, or polyhedra, to build geometric cover sets. Then, we can use some optimization algorithm, such as genetic algorithm or particle swarm optimization algorithm, to search for the optimal combination of geometric primitives to construct the optimal geometric cover set.
Classify new samples:
Finally, use a classifier, such as K-Nearest Neighbors or SVM, to identify the class to which the new samples belong. We can map the features of a new sample into a high-dimensional feature space, then find the nearest geometric cover set in this space, and finally classify the new sample into the category represented by the cover set.
In addition, WIMI's CNN-BPR image classification technology features a combination of convolutional neural network and bionic pattern recognition, and performs image classification by constructing a geometric coverage set in a high-dimensional feature space. Compared with the current traditional CNN model that uses the softmax function for classification, the softmax function has limited capacity and cannot handle complex classification problems well, such as image classification. In addition, CNN models cannot fully exploit the geometric structure of high-dimensional feature spaces, thus failing to achieve optimal classification performance. And traditional pattern recognition methods usually need to manually select features and classifiers, requiring a lot of manpower and time costs.
By combining BPR and CNN, this technology can overcome some shortcomings of traditional pattern recognition, improve the performance of image classification, and can handle complex image classification problems. This method can overcome some shortcomings of the current traditional pattern recognition in image classification and in most cases, it has higher classification performance than traditional methods. And it can handle complex image classification problems, such as image recognition, object detection and image segmentation.
At present, image classification technology based on convolutional neural network has been widely used in many fields. The method of WIMI hologram combined with bionic pattern recognition can overcome the limitations of traditional pattern recognition methods and improve the accuracy and reliability of image classification. It is believed that with the continuous development and progress of technology, this technology will have wider application and better performance in the future.
Brain-computer interface major achievements released, WIMI.US has been deeply involved in the development of BCI game models and paradigms.
Source
https://finance.sina.com.cn/tech/roll/2023-06-02/doc-imyvwfif8543218.shtml
June 2, 2023
Last week, Tesla CEO Elon Musk tweeted that the brain-computer interface could solve the biggest bottleneck in human progress. As we all know, Musk launched Neuralink in 2016. He believes that the company's technology can help humans and artificial intelligence achieve a "symbiotic" state. Simply put, people will be able to integrate their brains with computers effortlessly.
When it comes to brain-computer interfaces, the first impression in everyone's mind may be the scene where Musk lets monkeys realize "idea typing". Since then, Musk's Neuralink has been developing brain implants aimed at treating paralysis and blindness, etc. disease. However, what surprised the outside world recently is the team from China.
The world's first "Monkey Brother" interventional brain-computer interface test was successful
Recently, the world's first non-human primate interventional brain-computer interface test was successful in Beijing, which is of great significance to promoting research in the field of brain science and marks that my country's brain-computer interface technology has become an international leader.
The experiment was led by the team of Professor Duan Feng of Nankai University, jointly completed with the General Hospital of the Chinese People's Liberation Army (301 Hospital) and Shanghai Xinwei Medical Technology Co., Ltd., which made breakthroughs in intravascular EEG signal acquisition and interventional EEG signal recognition. Core Technology. Judging from the video data, the post-operative monkey only needs to "think about it" before it can let the robotic arm deliver food into its mouth.
This technology has a wide range of applications in medical, military and other fields. For example, it can help patients with stroke and frostbite recover, and it can even store human thinking, consciousness, and memory in the future. This series of results that sound amazing has already begun to be realized. It seems that the scenes in some sci-fi blockbusters are not so far away from us.
Brain-computer interface refers to the direct connection created between the human or animal brain and external equipment to realize the information exchange between the brain and the equipment.
At present, there are three main types of brain-computer interface, including:
- invasive brain-computer interface,
- non-invasive brain-computer interface and
- interventional brain-computer interface.
Neuralink, founded by "Silicon Valley Iron Man" Musk and a team of scientists, is a representative of a small number of companies engaged in the development of invasive brain-computer interfaces.
In contrast, the interventional brain-computer interface technology used in the Chinese trial is safer. According to the information released by Nankai University, the research team let the interventional EEG sensor pass through the monkey's jugular vein, enter the sagittal sinus, and reach the monkey's motor cortex brain area. After the operation, the team successfully collected and recognized the interventional EEG signals of non-human primates, realizing the active control of the mechanical arm by the animals.
It can be said that the interventional brain-computer interface takes the advantages of both invasive and non-invasive at the same time, while avoiding the disadvantages of both. Judging from the current development, brain-computer interface technology has continuously made breakthroughs, which may first benefit the medical industry. Guotai Junan Securities pointed out that medical health is the main application scenario of brain-computer, and it will gradually penetrate into entertainment, smart home and other fields in the future, becoming an important form of human-computer interaction.
Brain-computer interface technology will empower the metaverse
Brain-computer interface is a complex system and a basic tool for reading and writing neuron dynamic network data. What is even more surprising is that with the sudden emergence of the Metaverse, people have great expectations for the integration and interaction of the virtual world and the real world. Many people in the industry believe that the brain-computer interface is a cutting-edge technology hatched by the Metaverse.
In the future, the brain-computer interface technology will empower the metaverse, and the brain-computer interface is expected to become the next generation of human-computer interaction technology and the ultimate form of the metaverse. At the same time, with the continuous development of the Metaverse, the strong support of national policies, and the continuous exploration of brain science, the brain-computer interface will become the entrance of the next generation of Metaverse after VR and AR, realizing the real Metaverse.
According to the "White Paper on Brain-Computer Interface Standardization" released by the China Electronics Standardization Institute, the potential market for Brain Computer Interface (BCI) technology will soon reach tens of billions of dollars. Another predictive analysis believes that in the next 20-30 years, the commercial application of brain-computer interface will gradually land, which will open up a market worth hundreds of billions of dollars.
The technological race has already begun. Brain-computer interface technology is an important strategic direction for a new round of scientific and technological revolution and industrial transformation. The future industry represented by brain-computer interface has already entered the fast lane, and the formation of breakthrough scientific research results and innovative applications is a strategic need for innovative development.
WIMI Hologram focuses on the field of brain-computer interface and has made great achievements
At present, the field of brain-computer interface has tried to integrate technology in the consumer field, and its application in game interaction is becoming more and more popular. It is understood that WIMI (NASDAQ: WIMI) has started to develop the BCI game model and paradigm based on the brain-computer interface. A game model is designed with a P300 brain-computer interface to explore a feasible and natural game execution experience using electroencephalography (EEG) signals in a real-world environment.
According to reports, the novelty of WIMI's research is reflected in the design of the BCI game and paradigm, which integrates the game rules and the characteristics of the BCI system. In addition, a convolutional neural network (CNN) algorithm is introduced to achieve high accuracy on training samples. This brain-computer interface system not only provides users with a form of entertainment, but also provides more manipulation possibilities for games.
To be sure, WIMI is based on the CNN BCI game model, forming a platform that can satisfy the interests of both healthy and disabled users. For healthy users, brain-computer interface games are mysterious and technical, which increases the charm of the game and is very conducive to the promotion of the game. For disabled users, BCI games provide them with a fair gaming platform, not only allowing them to play games in the same way as healthy users, but also as a functional rehabilitation system to help patients with rehabilitation training. Obviously, WIMI's application of brain-computer interface technology to entertainment games is an important part of promoting BCI technology from the scientific research stage to the actual application market stage.
end
On May 29, Zhao Zhiguo, chief engineer of the Ministry of Industry and Information Technology, introduced that with the joint efforts of the industry, my country has formed a whole industrial chain of brain-computer interface covering the basic layer, technical layer and application layer, and it has been applied in fields such as medical care, education, industry, and entertainment. landing. The Ministry of Industry and Information Technology will take the brain-computer interface as an important direction for cultivating future industrial development, strengthen the exploration of brain-computer interface application scenarios, and accelerate the vigorous development of the brain-computer interface industry.
ImagineAR Appoints New Director.
Source
https://finance.yahoo.com/news/imaginear-appoints-director-210000655.html
June 5, 2023
ImagineAR (CSE: IP) (OTCQB: IPNFF) an augmented Reality company that enables sports teams, brands and businesses to instantly create their own mobile phone immersive AR campaigns, is pleased to announce that Gurdip (Gary) Panaich has been appointed as a new Director of the Company. Mr. Panaich is currently Chairman of the Board and Chief Compliance Officer of Star Navigation Systems Group Ltd. (CSE: SNA) (OTC Pink: SNAVF) (FSE: S3O). He has proudly served in the Canadian Forces and Royal Canadian Mounted Police (RCMP). Mr. Panaich has also worked as a realtor for 18 years in dealing with commercial, franchise food business and residential real estate.
Alen Paul Silverrstieen, Chairman of the Board & CEO of ImagineAR, stated "We are excited to have Gary join the Board, and believe that his extensive background will provide the Board with a valuable resource as we continue to focus on growth in new vertical markets for our AR technology platform. Additionally, we continue our commitment to pursuing the best possible governance practices by ensuring a majority of Board members are independent of management."
The Company also has granted 900,000 stock options at an exercise price of $0.05 which expire on June 5, 2026 to the Directors and Officers of the Company in accordance with the company's stock option plan.
This News Release is available on the company's official Verified Discussion Forum On AGORACOM, a moderated social media platform that enables civilized discussion and Q&A between Management and Shareholders.
https://agoracom.com/ir/Imaginear/forums/discussion
Teneo.ai joins Google Cloud Partner Advantage Program and launches new Conversational IVR plugin for Google Cloud.
Source
https://www.teneo.ai/blog/teneo-ai-joins-google-cloud-partner-advantage-program-and-launches-new-conversational-ivr-plugin-for-google-cloud
May 30, 2023
Teneo.ai,
https://www.teneo.ai/product/why-teneo
a brand from Artificial Solutions and leading innovator in the field of artificial intelligence (AI), is proud to announce that it has joined the Google Cloud
https://www.teneo.ai/solutions/partners/teneo-for-google-cloud
Partner Advantage Program as a technology partner. The plugin integrates Google Cloud services with Teneo’s Conversational IVR solution, OpenQuestion,
https://www.teneo.ai/solutions/openquestion
and enables Call Centers to decrease call misrouting and reduce costs through natural language automation.
OpenQuestion allows organizations to replace traditional phone touch pad-based and outdated voice-based menus with conversational routing and automation. Built on the award-winning SaaS-platform Teneo, the solution supports 86 languages and dialects and seamlessly integrates with the Google Cloud ecosystem.
Google Cloud customers can use Open Question along with other AI services in their Contact Center such as Google Cloud’s Speech-to-Text, Text-to-Speech and DialogFlow offerings.
Building on Google Cloud’s natural language and speech capabilities, OpenQuestion focuses mainly on correctly routing users to the right agent through automated natural conversations powered by AI. By doing so, businesses such as Telefónica and Swisscom have seen major impact in their contact center KPIs (+18 tNPS, 39M in ROI, +90% intent recognition and much more). To learn more on how OpenQuestion can improve NPS, increase automation and reduce redials in a contact center implementation,
visit this learning hub.
https://www.teneo.ai/learning-hub/conversational-ivr-case-studies
OpenQuestion includes its own Voice Gateway to connect traditional telephony directly to Google Cloud. Telephony is still a preferred choice of many customers, and Teneo solutions enables businesses to offer easy conversational AI voice to customers who prefer that channel.
OpenQuestion´s out-of-the-box Conversational IVR solution offers:
- Pre-built flows for direct routing and conversational clarification when users don’t provide sufficient information.
- FAQ and common situation handling such as empty inputs, nonsense, user-requested repetition and very long inputs.
- Callback functionality, sentiment analysis and summarization before handover to the agent.
- Impacts key contact center KPIs by increasing NPS and automation while reducing misroutes, redials and transfers between agents.
Mykola Sochynskyi,
https://www.linkedin.com/in/msochy/?original_referer=https%3A%2F%2Fwww.teneo.ai%2F
Global Partner Manager of Artificial Solutions, said:
“As many customers continue to favor the voice channel for customer support, investing in modernizing existing IVR technology for customer engagement is essential to help drive productivity, reduce cost and boost customer satisfaction in the contact center. We are excited about becoming a Google Cloud partner and being able to combine the footprint and power of the Google Ecosystem with Artificial Solutions’ 20+ years of Conversational AI experience and IP. This will bring amazing value to our joint partners and clients.”
About Us:
Our vision is a world without queues, without keypad navigation, with instant service. We’re proud to transform the customer experience for hundreds of millions of consumers around the world, powering millions of interactions every day across our enterprise client base.
Our customers replace traditional phone keypad-based menus with welcoming, short, and precise full sentences – OpenQuestion. The solution is based on our award-winning SaaS-platform Teneo. Which runs across 86?languages and dialects and is fully integrated with call center and contact center systems.
Integrations with Genesys Cloud CX, Google Cloud, Microsoft and OpenAI (ChatGPT), demonstrate our commitment to driving innovation in Conversational IVR for the benefit of enterprise contact center operators around the world. Through OpenQuestion, businesses can effortlessly connect Generative AI and Large Language Model functionality to their existing set up; no complications just instant results.
Teneo.ai, Teneo and OpenQuestion are registered brands by Artificial Solutions. With love from Teneo.ai, a brand from Artificial Solutions.
Unleashing the Power of AI in Healthcare Contact Centers.
Source
https://www.teneo.ai/blog/unleashing-the-power-of-ai-in-healthcare-contact-centers
May 30, 2023
The healthcare sector is currently undergoing a revolution, courtesy of the integration of Artificial Intelligence (AI) in call center operations.
Leading the charge is a prominent global healthcare tech company, enhancing its services through the application of Conversational AI.
The organization, catering to 70+ conditions with its groundbreaking medical technologies, has adopted an AI-driven IVR solution called OpenQuestion, made possible by Teneo.
Previously, the company’s Cardiovascular Patient Technical Service Group grappled with operational bottlenecks.
Each call drained nearly $26 from the company’s resources, and 9% of calls were misrouted.
The customer wait time averaged above two minutes, with customer satisfaction just about passable. The keypad IVR system struggled, failing to provide sufficient care to patients and customers.
Call agents were also adversely affected, bearing the brunt of basic troubleshooting and the consequences of misrouting calls.
In 2022, the company resolved to upgrade its IVR and revamp its contact centers. The primary goal was to heighten the customer experience by efficiently routing callers to the correct agent, thereby cutting down call handling time and boosting customer satisfaction.
This was of utmost importance as people calling for support were often in an emergency situation needing vital support with the operation of medical devices such as pacemakers and other cardiovascular technologies.
This transformative journey led to significant improvements by 2023.
There was a clear requirement to improve the performance of the Cardiovascular contact centers and to provide a greater level of service for people calling for help.
We wanted to take an approach that was both innovative yet simple to manage, while driving improvements for patients, clinicians as well as our internal agents. With Teneo, we were able to achieve better results than we could have imagined, and we’re thrilled with the performance of the product. Our team has been able to design and develop the solutions that were needed, and we have not been let down at any point. The success in the Cardiovascular department has led to other contact centers implementing the same solution for their needs.
Service Delivery Manager for Virtual Assistant as a Service
- The OpenQuestion IVR managed to decrease misrouted calls, slash wait times, and raise customer satisfaction levels.
- The system also improved the service level and deflection rate, with a notable 42% surge in calls being correctly routed.
- The company efficiently dealt with over 1 million voice IVA sessions, saved $6M annually, and increased customer satisfaction by 6%.
A vital part of this transformation was its impact on call agents. The AI-fuelled system provided agents with context about the customer’s issue, eliminating the need for customers to reiterate their problem.
The company’s dedication to customers and patients, combined with its innovative application of Teneo and OpenQuestion, has dramatically revolutionized its operations.
This success has not only raised the service level for individuals seeking urgent assistance but also spurred other contact centers to adopt the same solution.
As we look to the future, the Cardiovascular Patient Technical Service Group has ambitious plans for 2024.
It intends to incorporate greater troubleshooting capabilities to both voice and text and plans to use a custom Large Language Model (LLM) for analytics and transcript reviews.
There’s also potential to employ an LLM system to monitor patient data and scrutinize trends, thereby uncovering new ways to augment customer service and patient care.
This case study stands as a testament to the transformative potential of AI, particularly in the customer service realm within the healthcare industry.
By nurturing deeper relationships between customers and agents, generative AI solutions like OpenQuestion are carving out the future of customer service, making it more personalized, efficient, and customer centric.
The success with Conversational IVR for this global healthcare firm acts as a beacon for other organizations, demonstrating that harnessing AI can trigger long-lasting digital transformation and significant enhancements in customer service.
Interested in how OpenQuestion can revolutionize your contact center? Connect with our team, here.
https://www.teneo.ai/contact
Access the full case study, here.
https://www.teneo.ai/learning-hub/conversational-ivr-case-studies/global-healthcare-tech-company