Apple AI Acquisition Spree

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Apple spent the past week acquiring Perceptio and UK-based VocalIQ, two startups working to commercialize software in the areas of image recognition and speech recognition, respectively. Some speculate that the company is hoping to catch up with (or leapfrog) the work being done in these areas at Google, Microsoft, and Facebook.

Read More at Business Insider

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IBM launches a Cognitive Business Era

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IBM chose Ginny Rometty’s keynote slot at Gartner’s annual IT Expo to announce that the era of cognitive computing has arrived. In the context of her keynote, the cognitive advantage is what happens when firms that have become fully digital look for ways to differentiate themselves and leverage the value lurking in their growing data collections.

Cognitive is the next step, adding intelligence to data through advanced analytics, including analyzing the 80-90% of enterprise information that is unstructured. Rometty noted ...

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Big Data and Cognitive Computing – Part 1

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Discussions of cognitive computing almost always include a reference to “big data.” Discussions of big data occasionally, but infrequently, reference “cognitive computing.” But 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 the level of hype and confusion in this active corner of the technology landscape. If we can ...

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Framing Machine Learning and Cognitive Computing

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Machine learning and cognitive computing are joined at the hip, but they are surely not one and the same. In this roundtable discussion, five professionals specializing in machine learning, analytics, data science, information architecture, and management consulting struggle to offer informed perspectives about both the state of the art of the technologies and the readiness of enterprises to benefit from them. Originally published in IEEE IT Professional magazine.

Read the Discussion on InfoQ

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IBM Expands Watson Platform for Next Generation of Builders

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IBM expands cognitive APIs in the Watson Developer Cloud (WDC) for developers who are creating products, services and applications embedded with Watson. These APIs focus on increased capabilities in language, including an NLP classifier, dialog, concept expansion, and document conversion; speech; vision; and data insights. IBM also announced that it will launch next year an IBM Watson facility in San Francisco that puts it closer to developers, startups, venture, and academics in the region. This follows IBM’s announcement ...

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Master Algorithm. Really?

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Daniel Levitin crafts an interesting review of Pedro Domingo’s recent book The Master Algorithm. Author, neuroscientist, musician, Levitin brings all of these fields into play in visiting the ground of learning algorithms, their effectiveness, their limitations, their future(s), and their implications. Both Domingo and Levitin are resources of value to anyone thinking about cognitive computing.

Read More at WSJ

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From Invention to Product

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In the trajectory from invention to product, cognitive computing is following a familiar pathway, but with some additional twists in the road because of the complexity of the technologies involved. IBM’s Watson was a breakthrough in computing. As an invention, it heralded a new computing era. Since 2011, when Watson burst upon the scene, we have seen successful custom deployments, but to have a real market, we need robust products that can be quickly installed and that give repeatable and ...

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Watson Personality Insights Insights

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At Business Insider, Lucia Peters, of Bustle, reports on her experimental engagements with IBM’s Watson Personality Insights service. Taking the most extravagant of IBM’s claims—that the service can gauge elements of the personality of a writer from a 100-word writing sample, she takes multiple tacks to see what Watson will uncover about her personality. (Never mind that in a more technical context, IBM suggests a guideline of 2500 words or more to create a successful training set.)

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