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What Will Happen When the Machines do Everything?

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Prof. Gabriel Mario Rodrigues

Gabriel Mario Rodrigues – Chairman of the Board of Directors of ABMES

“The rise of AI (Artificial Intelligence) is the greatest event of our time. Those who will be successful in the next phase of the digital economy will not be the ones who create new machines, but those who figure out what to do with them. “(Malcolm Frank, Paul Roehrig and Ben Pring)

Anyone who has gone through San Francisco, California, and decided to have coffee, possibly knows the brothers Robin, Malcolm and Felipe. They are three very attentive attendants who work with great success and differentiation. They are robots, according to the report by Valor Econômico “Attendant-robot already serves coffee in stores of the United States,” April 12.

Everyone knows that the world of services is changing. For example, by 2030 anyone who has a serious illness and needs to be seen in the emergency room instead of standing in line waiting for their turn, it will be enough home to trigger from home the hospital app, which, when the doctor arrives he will already have all the tests and information on your health and will give you, with more assertiveness and speed, the appropriate treatment.

And how will the car be reviewed at the dealership? The owner will not even have to worry, because the vehicle itself will take care of itself: it will see when it is time to go to the workshop and, autonomously, with all the records, it will be on its way, wait for the job to be done and return home.

These two examples and many others are in a book that the Alta Books publisher has recently released by clarifying and stirring up the opinions of the utopian, anti-utopian, and pragmatic: What To Do When Machines Do Everything, indications to obtain good results with Artificial Intelligence (AI).

Authors Malcolm Frank, Paul Roehrig and Ben Pring of Cognizant argue that, unlike the pessimism surrounding business and Information Technology (IT) at present, we are, in fact, at the creation of opportunities since the industrial revolution.

The book presents a clear and well-defined business model, helping leaders to participate in this impending growth. The AHEAD model describes five strategic initiatives – Automating, Creating Halos, Enhancing, Using Abundance and Conducting Dynamic Research and Discoveries – to be able to compete in the next phase of global trade by driving new levels of efficiency, customer intimacy and innovation. The book has 218 fascinating pages, over 12 chapters, with attractive, catchy, but above all thought-provoking language.

With this introduction, because it is the new reality, I wanted to make a quick approach to information that has drawn my attention.

Malcolm Frank is Cognizant’s executive vice president of strategy and chief marketing officer; Paul Roehrig is director of strategy for Cognizant’s digital business; and Ben Pring is the global managing director of Cognizant’s Center for the Future of Labor. Under much observation and research, they saw the reason some digital companies like FAANG companies (Facebook, Apple, Amazon, Netflix and Google) have been very successful and others have not.

By studying together with Cognizant we discovered that each of these companies, which are digital leaders, have turned into artificial intelligence companies. Almost simultaneously, they are saying that AI is now at the heart of their business and is the future of their company. It is clear that this was the input for the book.

For Paul Roehrig,
“There is a lot of information that people are writing about AI, some of them with a frightening and terrible character. So we wanted to say, ‘What does all this mean for someone who needs to make important decisions in the next two, three, four, five years? What do they know they do not know yet? ‘”

High-tech forecasters argue that today’s smart leaders are applying “narrow” artificial intelligence systems to boost their business. In the book, which is still a pragmatic guide to prodigious intelligence systems – called “new machines” – the authors propose clear strategies for extracting and refining data, the most enigmatic and valuable commodity in the world today.

According to them, this fourth industrial revolution is very promising and they believe that companies that are wisely automating their business will outperform their competitors.
It goes without saying that one needs an open mind with a sense of urgency to take up the challenge. Implicit in recommending these ideas is for investors, students, executives, managers, and anyone looking for strategic and tactical insights about current AI applications.

To the unsuspecting but restless and reluctant, there are several underlying warnings that the age of artificial intelligence offers enormous and unimaginable possibilities, and that while some jobs may fade as new and better ones emerge, by 2025 the G7 countries will lose about 173 million jobs as a result of automation, according to a recent Oxford University study.

The good news is that the new jobs created by the machines will compensate for the losses, emerging from the upsets of automation, improvement and job creation. However, it will be necessary to master the “three Ms” – raw materials, business models and new machines. The basic recommendation is to always apply the AHEAD strategies, keeping in mind that, when objectively managed, intelligent machines improve (and do not supplant) the best human qualities.

It is good to emphasize: AI will not arrive, it is already here and it will knock at our doors with incredible demands. What the book really wants to show is that George Orwell’s “1984” is far off by light years from 2019 or 2020 because there are things, many things, that you can do when machines do everything and such new machines intelligence that allows this new industrial revolution will transform companies into knowledge-intensive, knowledgeable companies.

For Ben Pring,
“We’re going to go through a super-fast transition from ‘digital fun’ with Twitter and Facebook to ‘digital essentials’. So we begin to see these use cases that are taking off. There is a standalone vehicle and there are robot consultants for everything. I think in ten years it would be a bad practice to have a human reading X-rays or MRI results – a machine will do that. We are seeing this in the legal sector and suddenly, people are saying, ‘wow, where are we going to work when machines take over all white-collar work? ‘And that’s when some people wake up and get scared.”

A video by Look Digital News shows that in France, robots already do, with much more security, speed and efficiency, the work of hundreds of valets parking in airports. Unemployment is in sight.

The authors of What To Do When Machines Do Everything tell us that the potential of artificial intelligence development is attracting media attention and signaling major changes in business, education, health, energy, manufacturing, and so many other areas. AI certainly enhances our world and will soon create new virtual worlds in which people will work.

As in previous industrial revolutions, the AI ​​revolution heralds major breakthroughs, followed by a wave of economic and social prosperity.

Still according to the three Cognizant professionals, many jobs will be automated by AI, but many will be improved over time, millions of new jobs will be discovered. For them, “The fear of waves of chaotic layoffs reappears as each new type of automation emerges. But the new machines do not come all of a sudden. AI ​​slowly infiltrates and accelerates after an inflection point. In the short term jobs change, but they do not disappear. ”

Among the many approaches left in the book, some stand out, such as that data surpasses other commodities such as oil, coal, steel and electricity, which fueled previous industrial revolutions. Today they have been replaced by the Data (Big Data) and its market value exceeds all the old raw materials. The oil boom has transformed society as well as the Data boom. Compared to oil, data has the advantage of having a low cost of exploration and distribution, of existing in unlimited quantity, and of having unique and exponential characteristics. To take advantage of this, focus on smart management and see where the data goes.

And the only advice we can give after reading the book is that we need to be attuned to the AI ​​because it will totally influence the way we teach and will transform the way we do business.