Posts Tagged 'Cognitive Computing'

Smarter Perspectives Needed to Prepare for Smart Machines

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Tom Davenport and the International Institute for Analytics offer a thoughtful perspective on “how to help humans work better with smart machines.” This is not the first or the last word you will hear on this issue, but it provides an important, business-based perspective on what can be a largely emotional topic.

Read more at International Institute for Analytics

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IBM Watson ups the healthcare market ante with $2.6 billion acquisition of Truven

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Healthcare is one of the most logical domains for cognitive computing. The stakes are high: outcomes are often a matter of life or death. It has well organized, extensively tagged information sources. And healthcare/pharmaceutical companies are sophisticated users of advanced software technologies for research, particularly for drug discovery and patient management.

It’s no surprise, then, that IBM has been creating a partner ecosystem and developing technologies aimed at this domain. It has also been gobbling up existing vendors like Phytel, Explorys, ...

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Big Data and Cognitive Computing – Part 4

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In Part 3 of this series, we took up the important issues that come up on the level of functional description as terms are fired off to delineate (or not) big data and cognitive computing. We found that confusion tends to arise immediately from the many statements we can read which appear to wrap big data and cognitive computing into the same phenomenon.

We also found that conversations around big data analytics often seem to ignore the reality that an application ...

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Big Data and Cognitive Computing – Part 3

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In Parts 1 and 2 of our series on Big Data and Cognitive Computing, we proposed that these two trends are often brought up in conversation, but that those conversations rarely help clarify the important differences between these two trends. Are we truly confident that we know which is which and why that is so?

We felt that finding a way to describe these two trends in simple terms—and differentiate among them and define their relationship to each other—could help lower ...

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Hardware advances aid in machine learning tasks

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In the last week we’ve seen some noteworthy developments in the cognitive computing field. Most significantly, Google and then Microsoft, open sourced their machine learning systems in an effort to move the field ahead. But software is not the only component involved in this advancement. There has also been significant progress in machine learning and other artificial intelligence tasks because we have more and faster processing power.

Some folks are beginning to look at what, if any, changes we need to ...

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Merrill Lynch On the Investment Opportunity in Robotics/AI

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Merrill Lynch/Bank of America Research has released a thick “thematic investing” report (300+ pp.) reviewing the state of robotics and AI development, exploring their impact, and outlining potential investment strategies. In broad strokes, the report calls for the overall market for robots and artificial intelligence-based systems to triple in the next five years to some $150+B, with robotics accounting for roughly $80B and AI systems $70B. Like other recent reports, it sees considerable labor force disruption arising from these trends.

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McKinsey On Workplace Automation & AI

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A new McKinsey Global Institute study examines the degree to which automation technology will impact “jobs, organizations, and the future of work.” The study will run into 2016, but an interim report released recently already provides plenty of profound data points for executives and workers alike to consider. Stunningly, for example, the McKinsey researchers conclude that currently demonstrable technologies have the potential to automate 45% of the activities workers are paid to perform. In an unusual but insightful twist, their ...

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Don’t Fear the Robots

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New York Times technology reporter Steve Lohr devotes a recent column to the current state of robotics and cognitive software, differentiates among the two, provides a wave to the Singularity hysteria, and usefully focuses attention on the degree to which cognitive software applications will assist human decision making—in the present and future tenses.

Read more at The New York Times

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An evolution in computing

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With interest and activity in the field of cognitive computing heating up, a succinct definition of cognitive computing and an overview of some of the technologies behind it might be useful. I’ll also share a few of the practical applications that are emerging in the field. They are already demonstrating just how effective cognitive computing can be at helping answer complex questions.

At its core, cognitive computing is a collaboration between people and computers with a simple goal: to magnify human ...

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Two chances to learn about cognitive computing at KM World 2015

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Sue Feldman along with Swami Chandrasekaran and Mark Myers from IBM will lead a workshop on cognitive computing at KM World 2015. The panel is:

Inspiration, Insights, & Innovation Through Cognitive Computing
1:30 p.m. – 4:30 p.m.
Susan E. Feldman, CEO, Synthexis Cognitive Computing Consortium
Swami Chandrasekaran, Executive CTO Architect, Watson, IBM
Mark Myers, Product and Solution Marketing Leader, IBM Watson Explorer

Imagine if you could understand the personality characteristics of your customers at a deeper level. Imagine if you ...

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