Artificial Intelligence: The Promise of Limitless Possibilities

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Source:   —  April 13, 2016, at 11:20 PM

An example of how distant AI has arrive is the recent news that a Google supercomputer, using its advanced AI software, was able to win a stunning 3-0 triumph in a man vs.

Artificial Intelligence: The Promise of Limitless Possibilities

Artificial intelligence (AI), one of twenty core technologies I identified back in one thousand nine hundred eighty-third as the drivers of exponential economic cost creation, is rapidly working its way into our lives from Amazon'south Alexa and Facebook'south M, to Google'south Presently and Apple'south Siri.

An example of how distant AI has arrive is the recent news that a Google supercomputer, using its advanced AI software, was able to win a stunning 3-0 triumph in a man vs. machine face-off against Go grandmaster , one of the game'south all-time champions.

For those who aren't familiar with Go, it's a 3.000-year-old game that's widely considered to be the most complex game ever invented because it's reported to have more possible board configurations than there are atoms in the universe. Until just a few months ago, it was thought that a computer couldn't beat a human grandmaster for at minimum another decade due to the game'south complexity. Everyone was wrong!
How did Google'south AlphaGo program advance so much faster than many expected? First, it illustrates the power of the "Three Digital Accelerators" - the exponential growth of processing power (Moore'south Law), bandwidth, and digital storage.

These accelerators have finally reaching a tipping point that'll drive explosive growth going forward. And second, thanks to reaching that tipping point, Google'south AlphaGo program was able to partly learn itself. By playing millions of games against itself to sharpen its tactics through trial and error, the AlphaGo learned much faster than expected.

Another AI system that's been getting a lot of press is IBM'south Watson. Watson is a cognitive computer that learns over time. You may recall how IBM Watson first shot to fame back in two thousand-eleventh by beating two of greatest champions on TV. Since then it's been applied in an ever-growing list of fields, thanks to three unique capabilities: natural speech processing, hypothesis generation and evaluation, and dynamic learning.

Today, cognitive computing is being used in a wide variety of applications including healthcare, travel, and weather forecasting. When IBM began acquiring digital assets to strengthen its cloud capabilities with the acquisition of the Weather Company, the online community and newspaper headline writers were fast to voice their amusement.

However, IBM soon had the latest laugh when people learned that the Weather Company'south cloud-based services can easily handle over twenty-six million inquiries every day on its website and mobile app, as well as memorise from not only the daily changes in weather, but also from the questions being asked.

This colossal quantity of data from the fourth most-used mobile app would sharpen the appetite of even the permanently ravenous IBM Watson and would enable IBM to expand the level of analytics for its all-important business clients.

It's believed that weather is responsible for businesses losing $500 billion a year. Pharmaceutical companies are increasingly relying on accurate forecasts to predict a rise in the necessity for allergy medication, as are farmers - whose livelihoods frequently depend on what Mother Nature has around the corner - not only for where they grow their crops but also what's happening around the world where they sell their harvest.

When coupled with the news that IBM also snapped up Merge Healthcare Inc. for a chilly billion in order to integrate its imaging management platform into our elderly companion Watson, it becomes instantly clear where Watson'south future is heading.

Real-time analytics of the online white noise that surrounds us all and translating it into a meaningful, actionable report is incredibly powerful. With Watson'south learning capabilities, it'south not beyond the realm of opportunity that Watson will memorise more about science than a scientist after it learns from the all history of scientific data and research.

How about fields love auditing and accounting? A few years ago, when I was the keynote speaker at KPMG'south annual partner meeting, I suggested that they consider partnering with IBM to have Watson memorise all of the global accounting regulations so that they could transmute their audit and tax practice and gain a enormous advantage. After doing their own research on the subject, the KPMG team just announced that they're forming an alliance with IBM'south Watson unit to expand high-tech tools for auditing, as well as for KPMG'south other lines of business.

I've also worked with Deloitte & Touche, Ernst & Young, and PricewaterhouseCoopers, and I can convince you that they're also pouring hundreds of millions of dollars into using advanced AI and analytics to create audit and tax services distant more accurate and comprehensive.

So if the Large Four firms are all using advanced tools love these, where's the advantage? And how can a smaller firm gain an advantage love this? Thanks to the cloud and the virtualization of services, you don't have to own the tools in order to have access to them.

Ultimately, advanced AI is promising nearly limitless possibilities that'll enable businesses in every field to create better decisions in distant less time. But at what price? Many will point to the aggressive shake-up at IBM that's responsible for its recent and massive throughout the company and propose that technology is making much of the human race redundant.

The so-called rise of the machines started by removing ordinary and repetitive tasks and it's presently emotional more into what's frequently referred to as the white collar jobs. The key for us humans is to go beyond just reacting to change, and start getting ahead of it by paying attention to what I call the "Tough Trends" - the facts that are shaping the future - so that you can foresee the problems and new opportunities ahead of you.

Attempt focusing on being really excellent at the areas that computers have grand difficulty understanding, including collaboration, communication, problem solving, and much more. Making yourself increasingly valuable and relevant in the workplace will require you to memorise new things on an ongoing basis as well as unlearn the elderly ways that are presently holding you back.

Remember, we live in a world filled with technology, but we live in a human world where relationships are all-important. We necessity to become alert of the new tools available to us, and then creatively apply them to turn the impossible into the possible. By acquiring new information and developing your creativity and problem solving skills, as well as honing your interpersonal, social, and communication skills regardless of your age, you can prosper in a world of transformational change.

You can also connect with Daniel Burrus on Twitter at @DanielBurrus

DANIEL BURRUS is considered one of the World'south Leading Futurists on Global Trends and Innovation, and is the founder and CEO of Burrus Research, a research and consulting firm that monitors global advancements in technology driven trends to assistance clients realize how technological, social and business forces are converging to create enormous untapped opportunities. He's the author of six books including NY Times & Wall Str Journal best seller Flash Foresight.

Daniel Burrus is also the creator of The Anticipatory Organization™ Learning System-named a Top ten Product of 2016.

The AO Learning System is a training process for executives and their teams to expand the skills to accurately foresee and get critical actions before disruption strikes.

©2016 Burrus Research, Inc. All Rights Reserved.

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