Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

Written by a team of business and technology expert practitioners – who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business – this book provides a clear path to the future of your work.

The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom. The AHEAD model outlines five strategic initiatives – Automate, Halos, Enhance, Abundance, and Discovery – that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation.

Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you:

• Understand the untold full extent of technology’s impact on the way we work and live
• Find out where we’re headed, and how soon the future will arrive
• Leverage the new emerging paradigm into a sustainable business advantage
• Adopt a strategic model for winning in the new economy

The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don’t let your business – or your career – get left behind. What to Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.

MALCOLM FRANK is the executive vice president of strategy and marketing at Cognizant, a global technology consultancy of over 250,000 employees.

PAUL ROEHRIG is vice president of strategy and marketing for Cognizant Digital Business and a founder of the Center for the Future of Work.

BEN PRING leads Cognizant’s Center for the Future of Work, which helps clients bring the future of work to life—today.

Bruce Rogers from FORBES interviewed with Malcolm Frank and Paul Roehrig, two of the three authors of What to Do When Machines Do Everything, published by Wiley. Malcolm Frank is the Executive Vice President of Strategy and Chief Marketing, Cognizant. Paul Roehrig is Chief Strategy Officer for Cognizant’s Digital Business. Ben Pring is the Global Managing Director of Cognizant’s Center for the Future of Work.

Bruce Rogers: What has changed since you wrote Code Halos and why the need for the new book What To Do When Machines Do Everything: How To Get Ahead In A World Of AI, Algorithms, Bots and Big Data?

Malcolm Frank: In Code Halos, we looked at why some digital businesses like the FAANG companies (Facebook, Apple Amazon, Netflix, Google) were succeeding and others weren’t. We kept probing again and found that every one of those businesses that was a digital leader has now turned into an AI (artificial intelligence) company. And so, if you talk to the CEOs of all those firms, whether it’s Sundar Pichai at Google or Zuckerberg at Facebook  or Hastings at Netflix or even what we’re seeing with what Satya Nadella is doing at Microsoft and Marc Benioff at Salesforce-every one of them is saying that AI is now at the center of their business and is the future of their company. So, we started to see that digital leaders that started with these business models and Code Halos are turbocharging that lead with artificial intelligence. And that was the start of things.

Paul Roehrig: There’s a lot of thoughtful things that people are writing about AI. But the one thing that we were missing was that it doesn’t have to be terrible. Not everybody is going to be impacted in a happy way. But if we’re clever and if you follow the guidance in the book, things can be great for you personally and for your companies. So we wanted to say, “What does all this mean to somebody who has to make important business decisions over the next two, three, four, five, years? What should they know that they don’t already know? And how can we help them?” And that was what the book is about.

Rogers: What is the state of AI in business today?

Frank: The idea has been around for 60 years now. But now the technology has caught up with the idea. A year ago, when AlphaGo passed the capability of the current Go world champion, it was a big moment. There are more possible moves in Go than there are atoms in the universe. It’s probably the most complex game of intellect, and human beings have been doing this for two and a half thousand years — the Google team with machine learning essentially reversed engineered and cracked the code on the game in about 18 months.

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Hub Culture Executive Editor Edie Lush talks to various experts about how Artificial Intelligence is effecting the world we live in.

Erik Brynjolfsson, Professor at MIT and co-author of “The Second Machine Age”

“We’re creating more wealth than ever before more millionaires, more billionaires, GDP is an all-time high but the same time a lot more people are being left behind. Median income that is the income of the 50th percentile is lower now in the United States and other advanced countries than it was back in the year 2000. So at least half the population isn’t participating and all this wondrous wealth is being created and that’s creating challenges you’ve seen in the recent elections that a lot of people are angry about that they feel like the system isn’t working for them.”

Malcolm Frank of Cognizant and co-author of “What To Do When Machines Do Everything

“I don’t think a robot will take your job. But people are very concerned about its very much in the Zeitgeist. We think 2017 is the year that artificial intelligence goes mainstream and people are concerned. Because you look at games of intellect when the machine can win a chest when it can beat any human it GO that is a real concern to folks when we look in the paralegal business that artificial intelligence platforms can easily out-execute a crack team of paralegal white-shoe law firm. In radiology, I think in 10 years will be malpractice if you go to a human radiologist because we see the machine-like with mammography has more than a ninety-nine percent accuracy. Whereas you know one out of five human will actually make a mistake in that process so when people think that through the searches think is the Machine going to start to eat white color work and what does that mean to me it’s a big big issue..”

So what are the positives? How’s it going to help me. Here’s what Cathy Bessant of Bank of America told me about how she was going to put consumer and market data to work.

Cathy Bessant of Bank of America

“Well we might watch the transactions that you do with us. We might understand on your history we could see that you brought it up airline ticket to go to a particular destination. We can put all of that together for you to help prevent fraud. We can help you have at your fingertips information about the kinds of transactions you might want to think about if a balance is getting low and we know you’re going to be an active user because you’re traveling. Nothing not the kind of insights that cross the creepy line but the kind of insights that really add value to you in ways that you might not even know would be helpful.”

The distributed power that eBay gives its users is enhanced by AI. Here’s what Dan Tarman tells..

Dan Tarman of eBay

“We are utilizing artificial intelligence to help create a more personalized shopping experience for people. We use algorithms today we can help someone that we can help better understand what a buyer might want to either behavior patterns on our platform that means that we can better match someone is supplying something seller someone is looking for something.”

Artificial Intelligence is already bursting onto the scene in health. Fabien Beckers is bringing medical imaging and AI together to help doctors better diagnose patients.

Dr Fabien Beckers of Arterys

“In the case of the heart, the heart is a pump two main chambers ventricle and doctors have to basically draw contours two segment’s those chambers hundreds of pump each time that is a lot of manual work and here deep learning can basically decide itself itself find ventricle and quantify them for doctors he doesn’t have to do it. Half an hour two number work it is full your made it.”

There’s no doubt that the stakes are high. Stuart Russell from the University of California-Berkeley.

Professor Stuart Russell of University of California at Berkeley

“The general problem you know we might call the King Midas problem. You ask intelligent machines to do something and it takes you very literally does exactly what you say and then you regret it right and we only have one human race we don’t get to have a do-over right. So the big question is how do you get machine to behave in a way that’s guaranteed not to make you unhappy. Particularly when you actually don’t know what you really want and you don’t know what’s going to make you unhappy. So getting the field to agree that the problem is the first step, second step is what do about it. We’re starting to actually have a mathematical theory of machines that approvably beneficial in a sense that you approvably better off with this machine them without. It turns out that the key to that is that the machine should be explicitly uncertain about what it is that you want.”

Of course one of the reasons were so interested in AI here and have cultures that were building our own Artificial Intelligence.

Stan Stalnaker of Hub Culture about zeke.ai

“zeke.ai. what we call an Emergent Intelligence so it is AI but you know what kind of starting out is what we call EI and the point of the project is to develop a kind of new entity, a new idea, a new tool and a new personality to assist hub culture and the ecosystem and a variety of tasks.”

2017 is going to be the year that AI goes mainstream.

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