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HOT TOPICS
- The Accelerator Conundrum
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- Man and Superman
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- The Future: End of Capitalism
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cognitive scale
Thought Leaders in Artificial Intelligence: Cognitive Scale CEO Akshay Sabhikhi (Part 5)
Sramana Mitra: Your strategy is to look at the universe as three layers where you have IBM, Azure, or Google underneath. You insert yourself as a middleware. Then you want the domain knowledge of clients where you either code into or the client themselves code that, or there may be verticalized solution providers on top
Thought Leaders in Artificial Intelligence: Cognitive Scale CEO Akshay Sabhikhi (Part 4)
Sramana Mitra: Lift yourself to the 30,000 foot level and look at the AI universe. What do you see on the horizon as in trends and open problems that you could point other entrepreneurs to? Akshay Sabhikhi: If I may draw an analogy, think of this as the 1997 to 1998 timeframe of the Internet
Thought Leaders in Artificial Intelligence: Cognitive Scale CEO Akshay Sabhikhi (Part 3)
Sramana Mitra: What is a good example of the other value proposition? Akshay Sabhikhi: All of us have been to Amazon. We all shop and we have preferences around things we buy on different websites. Think about the last time you went to a website. Pick your favorite sports brand. I never authenticated myself or given
Thought Leaders in Artificial Intelligence: Cognitive Scale CEO Akshay Sabhikhi (Part 2)
Akshay Sabhikhi: I’ll give you a very high-level example. How do I understand you if you’re a patient or a shopper? How do I understand you at a really deep level? How can I use that to personalize the actions or recommendations to almost where it seems like you know me personally? The second class
Thought Leaders in Artificial Intelligence: Cognitive Scale CEO Akshay Sabhikhi (Part 1)
Microsoft, IBM, Google – they’re all building AI engines. Cognitive Scale has carved out a layer above them – a Middleware of sorts – that enables them to flexibly power applications in different categories. This is a very interesting positioning, and a story well worth reading for AI aficionados. Sramana Mitra: Let’s start by introducing
