Future of AI – Panel Discussion | Christopher Mohritz & Pavel Cherkashin |





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Uploaded on May 16, 2017

Andy Zhulenev, the VP of corporate innovation introducing Christopher Mohritz, the director of 10x effects and Pavel Cherkashin, the managing partner GVA venture having the discussion on future of AI.

Christopher Mohritz said that they have about 120 million now. Their management primarily focusing on AI. They did 30 investments last year from self-driving cars to AI in recruiting and financial services. Now their main hunt is for practical business applications. He did a research on top 100 AI companies by CB insights that they recently published.

The question arises in mind that what's the use case for a company?

In answer he said that it turned about almost 60 out of 100 have no use cases. So basically they have invested billions. They build technology the platform and they say they have this great technology to give a problem to solve. The marketing and automation are in his top lists. He generally thinks that the world is changing from automation to autonomy and helping humans to do their job better. The AI could do it faster, Quicker, cheaper and more compliant.

Secondly, Pavel Cherkashin shared a question that how do he rep his head around AI and the other is where the technology is right now and what sort of dive into and should he wait?

According to him AI should be a verb. It's not really a single technology. It's really a long suit of different ways. You can application, devices and whatever it may be processed smarter through a particular piece of software technology. AI is a particular solution versus implementing a technology.
Secondly, what technologies actually work and actually not work?

There is not a clear answer to what we learned in last couple f years that you want to stay away from the big monolithic type of applications for AI and want to focus as much as possible on the narrow AI. The real business value is focusing on the narrow AI being very specific on the technology and the solution you want to do is more focused you are on the actual task the AI does the more better. It is as the more you open up the scope, the less the technology is capable of actually achieving what you want.

In the answer to the second question, whether or not technology is big or fully big to move forward on. He would say that the sliding scale depending on how focused you can get on your solution.

To know more about AI Executive Briefing please visit: https://siliconvalley.center/ai-for-b...

To know more about Silicon Valley Innovation Center please visit: https://siliconvalley.center



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