Thought Leaders in Artificial Intelligence: John Roese, Global CTO of Dell EMC (Part 4)

Sramana Mitra: I’ll just make one point. I agree with you that there is this whole category of invisible AI that is already prevalent in some domain. In cyber security and ad tech, that invisible AI is very much present already. There are a lot of functions that cannot be done without that kind of AI. You can’t really do automated bidding of ads in real time without AI. How the hell do you do it?

John Roese: You’re absolutely right. The third category is, you do it because no amount of human beings thrown at the problem could achieve the outcome. Back to the topic today, that third one is a massive opportunity for innovators and entrepreneurs.

Sramana Mitra: Exactly. >>>

Thought Leaders in Artificial Intelligence: John Roese, Global CTO of Dell EMC (Part 3)

John Roese: Not only do I think that there is a huge opportunity here for entrepreneurs to take a business process and apply machine learning, but there’s also a fantastic job market that once you do it, the people you sell it to are the IT people who are looking for relevance as they move into the cloud world. These things have a huge material impact on the business and the productivity.

This is the next wave of productivity that we’re going to experience on a global scale. My message was unambiguous on that second bucket. If there is one place where we are not talking loud enough and are not excited about, it is this idea of real value of AI in enterprises. It will spawn startups. It will spawn entrepreneurs. It will spawn re-transformation and re-skilling of the IT work force. >>>

Thought Leaders in Artificial Intelligence: John Roese, Global CTO of Dell EMC (Part 2)

John Roese: I would argue that the other two types of AI are much more important even though they’re much less visible. In addition to AI to improve the human condition, the second domain that we think is probably significantly more important and probably more valuable is applying artificial intelligence to transform every single business process that exists today.

Business processes always have a level of automation that’s done by the computing infrastructure and the software. In almost every case, that automation stops at a point when human thinking is required. What happens with AI when you apply it to business processes is that boundary between when the human being has to intervene in the business process versus when the computers do their work suddenly shifts dramatically.

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Thought Leaders in Artificial Intelligence: John Roese, Global CTO of Dell EMC (Part 1)

John provides a great synthesis of how the AI movement is evolving and where the long-term business building and wealth creation opportunities really are. Also, a great discussion on the jobs of the future.

Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Dell EMC and its work in the realm of artificial intelligence.

John Roese: I’m the Global Chief Technology Officer for Dell EMC. We’re the largest infrastructure technology provider in the world now. It’s a collection of companies from the coming together of Dell and EMC about two years ago. The >>>

Thought Leaders in Artificial Intelligence: Paul Daugherty, CTO and Chief Innovation Officer of Accenture (Part 6)

Sramana Mitra: If you were starting a company today with AI, what kinds of open problems would you want to solve?

Paul Daugherty: There’s a lot of areas that I’m actually really interested in. One of the issues that is a great one to solve with AI is around the identity issue. How do we use AI itself to give us better control of our identity and information? The other thing that I think is under explored and not at potential right now is using AI for learning in education. That’s why we wrote our book, Human + Machine. >>>

Thought Leaders in Artificial Intelligence: Paul Daugherty, CTO and Chief Innovation Officer of Accenture (Part 5)

Sramana Mitra: Can I tell you a little bit about my interpretation of what’s happening in this realm?

Paul Daugherty: Sure.

Sramana Mitra: I think there’s going to be so much experimentation in this area in various applications of AI that it’s going to be completely unmanageable. I don’t think it’s going to be possible to regulate anything for a while.

Paul Daugherty: From a regulation perspective, I think it’s too early to regulate. That doesn’t mean it’s too early to control the >>>

Thought Leaders in Artificial Intelligence: Paul Daugherty, CTO and Chief Innovation Officer of Accenture (Part 4)

Sramana Mitra: What is your estimate of the timeframe for all this to come into society?

Paul Daugherty: It’s a 10 plus year transition. We’re at the very early stages of applying AI. It’s going to take a while for the technology to mature in a lot of areas. It’s going to take time to figure out how to implement it in an industrialized way across the whole system. We should think about healthcare as a decade-long plus transformation of continually applying the technology in different ways.

There’re a lot of ways we can drive much better health outcomes very quickly with a lot of the technologies we talked about. It’s a matter of picking the spots where we can solve the problems right now using the technology that’s available and then working on >>>

Thought Leaders in Artificial Intelligence: Paul Daugherty, CTO and Chief Innovation Officer of Accenture (Part 3)

Sramana Mitra: What about in healthcare?

Paul Daugherty: Healthcare is huge.

Sramana Mitra: How far are we in enabling doctors with AI capabilities?

Paul Daugherty: Just scratching the surface, but there is huge potential. One example people use a lot is machine learning for detecting patterns in radiology and doing diagnostics more effectively. Companies like GE and Philips are advancing those types of platforms pretty rapidly. >>>