AI will Eclipse Hadoop, Says Forrester

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When you start a revolution, you need to go public before the next revolution starts. Hadoop used to be the “revolutionary” technology behind the “big data” revolution but it has now been buried deep by deep learning, at least as far as the tech hype is concerned. One Hadoop distribution vendor, Hortonworks, sensed the passing of the “revolution” baton early, and went public in 2014. “In a year or two we may look back at November 10, 2014 [the day it filed for IPO] as the beginning of the end of the Hadoop Bubble,” I wrote in The End of the Hadoop Bubble?

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AI and Automation: Predictions, Perceptions, and Proposals

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Treasury Secretary Steve Mnuchin declared last week that the threat of artificial intelligence taking over American jobs “is not even on my radar screen.” Mnuchin is “not worried at all,” at least not for the next 50 to 100 years. This was in sharp contrast to the attitude of the previous administration. President Obama, for example, opined that “We’ve been seeing specialized AI in every aspect of our lives, from medicine and transportation to how electricity is distributed, and it promises to create a vastly more productive and efficient economy… But it also has some downsides that we’re gonna have to figure out in terms of not eliminating jobs. It could increase inequality. It could suppress wages.”

How good or bad AI will be for employment and how soon its beneficial or detrimental effects will manifest themselves have been debated—loudly and persistently—over the last few years. Here’s a somewhat random collection of recent quantitative and qualitative assessments.

Entire jobs and specific work activities will (continue to) be automated…

38% of jobs in the United States, 35% of jobs in Germany, 30% of UK jobs and 21% of jobs in Japan could be at potential risk of automation by the early 2030s–PwC

More than 85% of customer interactions will be managed without a human by 2020—Gartner

Automated vehicles could threaten or alter 2.2 million to 3.1 million existing U.S. jobs, including 1.7 million truck drivers—Executive Office of the President, December 2016

The world’s largest asset manager, BlackRock Inc., is entrusting more of its $5.1 trillion in assets to robot stock pickers to decide what to buy and sell. Seven portfolio managers are expected to leave—The Wall Street Journal

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China to Grow its AI Market from $2 Billion Today to $150 Billion in 2030

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China has laid out a development plan to become the world leader in artificial intelligence (AI) by 2030, aiming to surpass its rivals technologically and build a domestic industry worth almost US$150 billion (S$204 billion).

Released by the State Council, the policy is a statement of intent from the top rungs of China’s government: Beijing will be investing heavily to ensure Chinese companies, the government and military leap to the front of the pack in a technology many think will one day form the basis of computing.

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AI to Add $16 Trillion to Global Economy in 2030

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HT: @miguelselas

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The AI and Automation Buzz

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CB Insights: Media buzz around AI, robotics, and automation increased significantly towards the end of 2016.

JP Gownder, Forrester:

The forward march of automation technologies — which include hardware (e.g. robots, digital kiosks), software (e.g. AI), and customer self-service (e.g. mobile ordering) — continues to reshape the world economy. Automation has already begun to reshape every company’s workforce, including yours. Leaders across all roles, companies, and verticals are taking note; right now, my report The Future of Jobs, 2027: Working Side-by-Side with Robots is one of the five best-read among all reports at Forrester. We forecast a world in which automation cannibalizes 17% of US jobs by 2027, partly offset by the growth of 10% new jobs from the automation economy. Most importantly, we see human-machine teaming as a key workforce trend in the future, as more and more human employees find themselves working side-by-side with robotic colleagues.

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The Evolution of AI and the Technologies Accelerating it Today

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Source: Tracxn

See also A Very Short History of AI

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AI Technologies Today and Tomorrow

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Source: Callaghan Innovation (Infographic)

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AI in Cybersecurity Startups Landscape

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Source: CB Insights

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Could AI Do Your Job?

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MGI:

Overall, we estimate that about half of the activities that people are paid almost $15 trillion to do in the global economy have the potential to be automated by adapting currently demonstrated technology…

All occupations will be affected. Only a small proportion of all occupations, about 5%, consist of 100% of activities that are fully automatable using currently demonstrated technologies. However, we find that about 30% of the activities in 60% of all occupations could be automated. This means that many workers will work alongside rapidly evolving machines, which will require worker skills also [to] evolve. This rapid evolution in the nature of work will affect everyone from welders to landscape gardeners, mortgage brokers—and CEOs; we estimate about 25% of CEOs’ time is currently spent on activities that machines could do, such as analyzing reports and data to inform decisions.

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Distracted: Millennials Addicted to Social Media

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eMarketer:  A new study from private software research company Qualtrics and venture capital firm Accel looked at how plugged in to social media internet users in North America, the UK and Australia really are. It found that many millennials haven’t gone more than five hours without checking social media.

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