9 AI trends on our radar

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How new developments in automation, machine deception, hardware, and more will shape AI.

Here are key AI trends business leaders and practitioners should watch in the months ahead.

We will start to see technologies enable partial automation of a variety of tasks.

Automation occurs in stages. While full automation might still be a ways off, there are many workflows and tasks that lend themselves to partial automation. In fact, McKinsey estimates that “fewer than 5% of occupations can be entirely automated using current technology. However, about 60% of occupations could have 30% or more of their constituent activities automated.”

We have already seen some interesting products and services that rely on computer vision and speech technologies, and we expect to see even more in 2019. Look for additional improvements in language models and robotics that will result in solutions that target text and physical tasks. Rather than waiting for a complete automation model, competition will drive organizations to implement partial automation solutions—and the success of those partial automation projects will spur further development.

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How fast is artificial intelligence growing? Look at the key bellwethers

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AI & Big Data

One can intuitively surmise artificial intelligence (AI) is today’s hot commodity, gaining traction in businesses, academia and government in recent years. Now, there is data — all in one place — that documents growth across many indicators, including startups, venture capital, job openings and academic programs. These bellwethers were captured in the AI Index, produced under the auspices of was conceived within Stanford University’s Human-Centered AI Institute and the One Hundred Year Study on AI (AI100).

One key measure of AI development is startups and venture capital funding. From January 2015 to January 2018, active AI startups increased 2.1x, while all active startups increased 1.3x, the report states. “For the most part, growth in all active startups has remained relatively steady, while the number of AI startups has seen exponential growth,” the report’s authors add. The trickle of venture capital into AI startups, another bellwether, also turned into a torrent. VC funding for AI startups in the US increased 4.5x from 2013 to 2017. Meanwhile, VC funding for all active startups increased 2.08x.

Another key measure, job openings, accelerated in AI. While machine learning is the largest skill cited as a requirement, deep learning is growing at the fastest rate — from 2015 to 2017 the number of job openings requiring deep learning increased 35x, the report’s authors state.

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Amazon has a top-secret plan to build home robots

Prototypes can navigate from room to room like driverless cars.

Company hopes to start testing bots in homes later this year.

Ten years ago, Amazon introduced the Kindle and established the appeal of reading on a digital device. Four years ago, Jeff Bezos and company rolled out the Echo, prompting millions of people to start talking to a computer.

Now Amazon.com Inc. is working on another big bet: robots for the home.

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