Ingenieur Vol 73 ingenieur Jan-March 2018 | Page 40

INGENIEUR hard to follow. Challenging the almighty status quo to do what experts say can’t be done isn’t for the faint of heart. But that’s exactly what these founders did, ignoring the advice of the many and trusting their own focus group of one — or two. The pundits thought Steve Jobs was absolutely insane to get into the dog-eat-dog cell phone business. In 2007, John Dvorak put into words what everyone was thinking: “Apple should pull the plug on the iPhone,” he wrote, as “there is no likelihood” it will be successful. He later called the iPad tablet a “giant iPod Touch” that would have nominal market impact. Today, the iPhone is undoubtedly among the most successful products ever, generating more revenue than nearly every S&P 500 company. The iPad-dominated tablet market surpassed PCs in 2015, just five years after its introduction. And let me tell you — everyone thought Apple was crazy when it opened its first retail stores in 2001. Today, Apple stores are the most lucrative retail space in the U.S. What is your Digital Quotient – McKinsey We’ve all heard about the IQ. But it’s time to start talking about our Digital Quotient (or DQ). This is about developing the kind of intelligence needed to be effective in the business world. Now, this isn’t news in boardrooms around the world. You’d be hard pressed to find a business leader who isn’t trying to figure out how to take advantage of all the digital trends today. But the question that stymies companies is what should they actually do? Or more accurately, what should they do to turn digital into a real source of value.   With the pace  of change in the world accelerating around us, it can be hard to remember that the digital revolution is still in its early days. Massive changes have come about since the packet-switch network and the microprocessor were invented nearly 50 years ago. A look at the rising rate of discovery in fundamental R&D and in practical engineering leaves little doubt that more upheaval is on the way. For incumbent companies, the stakes continue to rise. From 1965 to 2012, the “topple rate,” at which they lose their leadership positions, increased by almost 40% as digital technology ramped up competition, disrupted industries, and forced businesses to clarify their strategies, develop new 6 38 VOL VOL 73 55 JANUARY-MARCH JUNE 2013 2018 capabilities, and transform their cultures. Yet the opportunity is also plain. McKinsey research shows that companies have lofty ambitions: they expect digital initiatives to deliver annual growth and cost efficiencies of 5 to 10% or more in the next three to five years. Now it’s time to prepare for the Machinocene - BOAO Human-level intelligence is familiar in biological hardware – you’re using it now. Science and technology seem to be converging, from several directions, on the possibility of similar intelligence in non-biological systems. It is difficult to predict when this might happen, but most artificial intelligence (AI) specialists estimate that it is more likely than not within this century. Freed of biological constraints, such as a brain that needs to fit through a human birth canal (and that runs on the power of a mere 20W lightbulb), non-biological machines might be much more intelligent than we are. What would this mean for us? The leading AI researcher Stuart Russell suggests that, for better or worse, it would be ‘the biggest event in human history’. Indeed, our choices in this century might have long-term consequences not only for our own planet, but for the galaxy at large, as the British Astronomer Royal Martin Rees has observed. The future of intelligence in the cosmos might depend on what we do right now, down here on Earth. Should we be concerned? People have been speculating about machine intelligence for generations – so what’s new? Well, two big things have changed in recent decades. First, there’s been a lot of real progress – theoretical, practical and technological – in understanding the mechanisms of intelligence, biological as well as non-biological. Second, AI has now reached a point where it’s immensely useful for many tasks. So, it has huge commercial value, and this is driving huge investment – a process that seems bound to continue, and probably accelerate. One way or another, then, we are going to be sharing the planet with a lot of non-biological intelligence. Whatever it brings, we humans face this future together. We have an obvious common interest in getting it right. And we need to nail it