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If any announcement is made that is of substance with 2.5 mil shares short this stock can move to the upside quick!! don't get caught up in negativity, AL is going to prove itself sooner than later, with remarks from msft about many top 100 companies adopting the technology now. Veri has a good foothold with some major customers and are signing others. I personally believe they will be buying some stock down here soon. This can run to 5 quick!! GLTA & have a great wknd!!
This going to Roll!!
Nothing to exciting
Just trying to stay sane haha I don't believe they would sell this application !!! makes no sense to development something so big that msft wants to use it as there main platform and not participate " its called "royalties" a certain percentage of useage..that makes more sense in my opinion for shareholders
Chad has been writing code! he has had his head down , its all on the line right here right now!! GLTA
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Veritone Sees Upside In Microsoft Opportunities
By Kevin Costelloe
Monday, September 30, 2019
Lets not get to negative, I did read where they were seeing upside from MSFT..the stocks 2.70 not 7.00 it can roll up with some good news..trust me they are feeling the heat!!I'm done worry about it, might be a tax loss...GLTA tomorrow
Well thats kinda nice, I hope he is working !!
Can u speculate on anything you heard from presentation that could involve VERI?
Wow if this automate w MSFT this thing is going to fly back to 6-7 GLTA I can't wait till WED afternoon
Didn't they mention ABC as a client ? I think I saw that before
Another point I'll speculate on, I doubt these investor conf are going to be about on the loop off the loop they have beat that drum the past year, I think they are going to be addressing something bigger that will be announce in earnings ? MSFT is key
Could be positive if they closed several decent deals having investor conf to update the street ? I still believe something substantial will be announced. The pressure has been applied "low stock price" by the street!! Banta brought more in the 4-5 range announced on 9/2/19 his total holding is 1.6 mil shares, that is 10% of the $$ he has under management that's huge !! I'm excited to hear about MSFT !! remember the quote VERI sees upside from msft platform...GLTA just a positive spin
It would seem this could be good news, if hiring has picked up because business is picking up with Microsoft ? Wednesday can't get here fast enough GLTA
I have major concerns for the way the stock has traded lately , I don't think Chad will be on this call with the way the stock is trading somethings up? this trading is not computer trading someone knows something...I'm to far in to turn back now. This stock has crush me !! GLTA
did u see this article from Oct 22? We should invite "M" over to this board if Andrew finds us we are doomed to negativity haha
The accuracy of AI necessary to solve problems
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The accuracy of AI necessary to solve problems
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The accuracy of AI necessary to solve problems
Richard Harris Richard Harris in Artificial Intelligence Tuesday, October 22, 2019
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Aaron Edell, Director of Applied AI at Veritone (NASDAQ: VERI), discusses how the accuracy of AI doesn't need to be 100% when solving key business problems.
We recently had a conversation with Aaron Edell, Director of Applied AI at Veritone who says data scientists are going about building AI/ML solutions wrong when they try to achieve 100% accuracy. They can spend hours building, testing, and rebuilding until the solution is 100 percent accurate until deploying. When data scientists spend this extra time perfecting a process, they waste time they could be spending delivering and improving results. Consider measuring open space in a restaurant. Businesses don't need to know the exact number of bodies in the room, but rather recognize how a full room differs from an empty one. With this in mind, data scientists only need to build solutions with 90 or even 80 percent accuracy for a similar outcome as 100% accuracy would provide – saving valuable time and money.
ADM: What are the common mistakes data scientists make when building AI solutions?
Edell: Data scientists are often tasked with or become focused on delivering a new algorithm with the highest degree of accuracy. They often are not exposed to the reason why they're building a model in the first place. Without understanding the problem, or given the bandwidth to explore the problem further, they'll just do what they do best which is to maximize metrics.
How can data scientists move through the process faster? The best use of data scientists within an organization is to embed them with cross-functional product teams who are tasked with solving problems. They need to be a part of the solution, not focused on a sole component. Once they are exposed to the holistic approach, they can be a lot more effective in delivering value.
ADM: Considering the accuracy of AI, what level of accuracy do AI solutions really need, and why don't they need 100% accuracy?
Edell: This depends on the problem you are trying to solve. If I told you to focus on building the most accurate people counter model for a specific CCTV camera feed, you might think that you need to reach 100% accuracy in order to succeed. So you waste time and resources achieving that goal. If I told you that we need to use the CCTV camera to determine if a restaurant is busy or not, you might realize that your people counter doesn't need to accurately tell the difference between 110 and 115 people - it just needs to report back that there are a lot of people (or not) in a given viewing area. That is a much easier problem to solve with machine learning that doesn't require 100% accuracy.
You don't need 100% accuracy to solve a real business problem and realize ROI. If I can make a person's job 80% more efficient, then I'm still adding value.
ADM: What should data scientists consider when building out AL/ML solutions?
Edell: The most important thing to think about is the problem you are trying to solve. If you've decided that you've got a model that solves the problem, the next step is how to deploy and scale that model, which can be the hardest part. Data scientists aren't necessarily developers or dev ops engineers. They need to be part of a team that has the expertise to work together to solve a problem.
ADM: What types of business solutions can AI solve? How can businesses recognize what problems AI can solve?
Edell: Great candidates for AI are problems that a human could do in theory, but would take too long to be useful. For example, a human could sort through millions upon millions of photos and crop them around a single person's face. But that would take so long that the process is not worth it. A human could also manually run statistical analysis on credit card transactions to look for anomalies, only to find out that there is a fraud way too late for it to matter.
Machine learning can speed up repetitive or mathematics problems so much that you can start to see massive returns on your time or money investment. It can solve problems that wouldn't have been possible before because of the inability for humans to scale, like automatically creating a profile pic for your social media profile by scanning through millions of photos and cropping the perfect picture of you. It can also load balance cell phone towers to make sure everyone's phone calls are perfectly clear. There really isn't a limit to the size of the problem it can help with, it is a force multiplier much like how factories scaled-up manufacturing. I'm reminded of how humans used to build cars by hand, only to discover one day that they could build hundreds of them with an assembly line. Certainly, technologies enabled that. They weren't means to an end, but they unlocked levels of scale that weren't possible before. This is how I think about machine learning. It is a technology that unlocks levels of scale that weren't possible before because they were traditionally too expensive or too reliant upon unscalable technology.
Aaron Edell Bio
Aaron Edell is a proven technology and business leader who has built products customers love, started and sold businesses, and has put together strong strategic partnerships with some of the largest tech companies in the world. Aaron was CEO and co-founder of AI-company, Machinebox, which was acquired by Veritone just 10 months after starting the business. He's won awards and accolades such as a technical Emmy, JMP Securities Hot 100 startups, Bloomberg's Top 50 startups, and aiShowBiz's best AI startup. Aaron is quoted by Microsoft on their AI landing page, cited or referenced in multiple books, and is a regular industry speaker.
Aaron Edell Bio
Veritone, Aaron Edell, AI solutions, Data Scientists, AI and Data Science
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I agree with you completely !! I brought for the last time yesterday...brought my avg down .07 cents...this company may blow me up...but u only live once haha. I do appreciate you staying strong and finding the information u have. it has kept me wondering with thoughts of greener days ahead GLTA
I hope they don't let Peter Collins do the presentation for the Investor Conferences he sounds like a boring presenter! The last one he did was so boring and sounded like he was reading like a 3rd grader, to boot it was all just rehashed nothing new.
that's weird !! is he investment relations ? thanks for the respectful discussion on this board, I hope the jerks don't find us over here hahaha have a great day GLTA
I remember that conference call, haven't heard Roth mentioned on recent earning calls asking questions
they are breakeven with 90 mil in sales..I don't believe they are without opportunities to raise needed money to get to that level of rev. if they can close some of these trails they won't be far from that mark by 1 quarter 2020, none of these estimates are taking into account major new orders IMO
Just my opinion , I don't think they used the ATM at these levels , they stated they sold 1.7 mil shares avg at 7, they will make a major announcement and be able to sell at higher prices, or do some other type of debt financing in the near future. I did some research on Banta financial they added to there position, which now total 1.6 mil shares avg in the 6-7 range that's 10% of there total money under management. That is a lot for a small management firm. I would expect something "Substantial" in the very near future. GLTA
Benny & the Jets!! I hope you are right !
It sure would be exciting to see it breakout to mid 4's before the #'s come out . GLTA
We need some of these trails to convert into contracts, I hope they have a surprize in store. At this level they have to be feeling the heat..I noticed Banta financial has brought up to 1.6 mil shares there is a lot riding on this call GLTA
I agree about the ownership aspect, that was something that pushed me to invest into Veri, I guess we will know soon enough. thanks for the input GLTA
I'm really surprized management has just sit back and watched this stock drop and stay below 3.00 a share..How stupid can they be? they brought the stock in the 7's last quarter but no buys at these levels..chad has been MIA..they should have raised money and done the offering when the stock was above 7.00 and got it over with..now they have allowed the stock to crater and put themselves and all share holders at greater risk...Institutional investors will not buy it, they stated in previous calls they wouldn't raise $$ but they did selling 1.7 million shares into the market..I have to admit I'm very nervous about my investment, no pre annoucement about earnings , market at an all time high while Veri is at a all time low..this has been a painful lesson I should have set a mental limit and sold, I got caught up in the hype
I don't think I could handle it shooting that high, haha lets get it back over 5.00 GLTA!!
I wonder if this shorts covering ? I hope its more GLTA
Thanks for that information...I saw a announcement while watching CNBC on the border wall couple months back mentioning the govt was going to award a contract for face recognition along the border, the contract was 900 mil ? I wonder which other companies have this type of technology and are competing head to head with Veritone.
Remember the youtube video about the contract win? He stated they evaluated all the AL companies and Veritone was best in Class.. congress funded radio station can't remember their names. but they decimate US news all over the world in different language. Veritone is simplifying and saving lots of time editing information...hoe much is that segment of there business worth? seems they could really grow that side of there business..just curious of both of your opinions thanks
I made it over, I don't think so. I pray they will make a announcement that will be substantially to get us out of this range. Good luck