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. >>>

Thought Leaders in Artificial Intelligence: Paul Daugherty, CTO and Chief Innovation Officer of Accenture (Part 2)

Sramana Mitra: What format does that take? Is this like an online chatbot where there are three entities interfacing?

Paul Daugherty: The only people conversing are the customer service agent and the customer. The chatbot is advising the customer service agent.

Sramana Mitra: Behind the scene.

Paul Daugherty: Right. It’s allowing the person to be more effective and having more human conversation. >>>

Thought Leaders in Artificial Intelligence: Paul Daugherty, CTO and Chief Innovation Officer of Accenture (Part 1)

This interview explores the machine augmented human capabilities of an AI-driven future that we’re marching towards.

Sramana Mitra: I want to double-click down on some of the work that you’ve done in human-machine interaction and where that is going. Where are the new jobs going to be? What would be the types of new jobs? I suggest we start with maybe one or two use cases and double-click on those.

Paul Daugherty: It’s good to be great back on. Last time, we had a fantastic discussion. I’m sure this will be the same. I just wrote a book called Human + Machine: Reimagining Work in the Age of AI. At the heart of it, the plus side illustrates the view >>>

196th 1Mby1M Entrepreneurship Podcast With Ankit Jain, Gradient Ventures

Ankit Jain is Founding Partner at Gradient Ventures, Google’s AI venture fund.

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