Cognitive computing market

AI In Play at Davos

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Gartner Research Head Peter Sondergaard shares perspectives on the AI conversations at this year’s Davos. His blog post identifies a number of focus areas and thumbnails the issues in play: jobs lost and found; re-skilling; current state of adoption; data bias; educating children for an AI world; data ownership.

Check out the Gartner Blog Network here:

https://blogs.gartner.com/peter-sondergaard/davos-discussions-taking-stock-of-ai/

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McKinsey on the State of AI and the Costs of Late Adoption

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The McKinsey Global Institute has released an 80-page “discussion paper” entitled Artificial Intelligence: The Next Digital Frontier?

Needless to say, the question posited in the title is a straw man, as the research results indicate clearly both the current rush toward AI-powered innovations and the business advantages many early adopters are experiencing. The report is appropriately wide-ranging, covering profit-boosting for enterprises, estimating “windows of opportunity” in the market and the capabilities required to seize them, and, not least, considerations of re-skilling ...

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AI: the new Electricity?

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Andrew Ng, formerly AI lead at Baidu, now adjunct professor at Stanford offers a concise, 3-minute overview of his views of “AI as the New Electricity.” He combines a bit of history with some interesting rules of thumb on what currently-human tasks will be AI-able and with a projection of which fields will be first to broadly adopt AI approaches.

Listen to Prof. Ng’s assessment of the progress of the AI market at WSJ Video: http://www.wsj.com/video/andrew-ng-ai-is-the-new-electricity/56CF4056-4324-4AD2-AD2C-93CD5D32610A.html

 

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Where Are We With Cognitive Computing Today? Part 2.

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I recently had the opportunity to attend a focus group, sponsored by SAS Institute, on cognitive computing adoption outside the US. The group of early adopters attending this focus group was proceeding with caution. They had the bruises from past new technology experiments and don’t believe the hype around AI today. In each case, it was apparent, however, that they had support from high-level management, and that they were starting with a proof of concept, or several. We have heard ...

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Uber & Geometric Intelligence

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Uber’s announcement that it has acquired Geometric Intelligence and its 15 ai computer scientists can be viewed on the surface as yet another in a months’ long string of talent raids by the mega-tech firms on academic departments and ai startups.

 

http://www.nytimes.com/2016/12/05/technology/uber-bets-on-artificial-intelligence-with-acquisition-and-new-lab.html

At another, more strategic level, it could be viewed as more evidence of capitulation on the part of the mega vendors—an acknowledgement that the more “cognitive” problems in upper level decision-making by ...

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Where Are We With Cognitive Computing Today? Part 1.

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Cognitive computing is emerging as a significant part of the next generation of computing. Because it is early days in this new generation of computing, there is still no widespread understanding of what it is and how it differs from some of its relatives: AI, internet of things, machine learning, conversational systems, bots, or NLP. We see in both the US and in Europe that companies are very interested, but are mostly still at the experimentation and proof of concept ...

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Amazon Introduces AWS Cloud Cognitive Services

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Amazon used its AWS re:Invent event in Las Vegas to introduce the first cognitive APIs available through Amazon Web Services. Rekognition, Polly, and Amazon Lex are three new featured services. They enable, respectively: object & facial recognition and categorization; text to speech conversion based on deep learning; and a forthcoming Alexa AI service for natural language question answering.

With Google, Facebook, Microsoft, Baidu, and IBM all publishing advanced AI-oriented APIs and services, Amazon is joining a crowded field—not, however as a ...

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Notes from World of Watson 2016

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IBM’s World of Watson served up an impressive smorgasbord this year: topnotch speakers, thought provoking research, roving robots, and Olli, a self-driving bus/tour guide. For those of us who have tracked cognitive computing since its beginning, the most impressive part of the conference was its size: 17,000 people trekking among multiple venues, hundreds of exhibitors. It’s apparent that AI and cognitive computing and IoT are all converging, and that it’s difficult to tease them apart.

Aside from the mandatory linguistic aspects ...

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Takeaways: O’Reilly AI Part 3

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Among the featured speakers at the O’Reilly AI Conference were Lili Cheng of Microsoft Research, and Oren Etzioni, director of the Allen Institute for Artificial Intelligence. Their views offer contrasting perspectives: AI product design and development lessons from Microsoft and some hard data about expectations for market development from the AI think tank.

Lili Cheng, Microsoft Research. Microsoft’s bot, Xaoice, now with 40 million users, was rolled out first in China, and then Japan. Like Amazon’s Echo, it has a suite ...

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Takeaways: O’Reilly AI Part 2

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Among the speakers at the O’Reilly AI Conference were the eponymous conference producer and long-time tech industry guru Tim O’Reilly, and Genevieve Bell, representing Intel, one of the premium sponsors of the event. This is what I thought were the primary messages they delivered.

Tim O’Reilly, O’Reilly Media. Tim was upbeat about AI and its potential to “change the game” of business. He cited complex problems that will always arise when we change the nature of the relationship between people and ...

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