Cognitive applications

Consortium Presents – Evaluating AI Projects: Consortium and Babson Discuss New Tool at AIWorld, Boston, Wednesday 12/5/18

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Have you ever wondered if you’re using the right tools to guide decisions that have to be made about AI projects?

You’ll find that new research by the Cognitive Computing Consortium and Babson College Technology, Operations, and Information Management presents a new set of perspectives on evaluating cognitive computing projects. The session begins at 2:30 pm at the Cognitive Computing track at AIWorld, Wednesday 12/5/18.

Deciding to adopt a new technology is a daunting ...

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The New AI-on-board Applications: Who Will Build Them?

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Cognitive computing faces a range of challenges as it moves from computer science labs and pilot projects and edges out into the main stream. The media is full of articles on the promises and perils of the technology. We can read about a few real successes in the field, and a few spectacular misses, like the scandal surrounding IBM and the MD Anderson Cancer Center in Austin, TX. We can read about how the technology will take all of our ...

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Research Program on Standard Reference Framework for Cognitive Computing Applications

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The Cognitive Computing Consortium and Babson College’s Division of Technology, Operations, and Information Management have launched a joint research program focused on establishing a standard reference framework for describing cognitive computing applications. The program is led by Professor Ganesan Shankar of Babson College and Susan Feldman of the Cognitive Computing Consortium.

The research is based on an ongoing series of structured interviews with organizations who have created and deployed applications of cognitive computing technologies to one or more use cases within ...

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Considering Bias & Cognitive Systems

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When we examine the differences between humans and cognitive systems, we often point to lack of bias in automated systems vs. the unavoidable biases that humans bring to making judgments. But is that really true? The fact is that every time we select a training set, write an algorithm or design a ranking scheme, we are building in our biases of how the world is ordered, and what is more or less important in any category. We build in relationships ...

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Cognitive Liability?

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Tesla paid a high price in May, 2016, when a complex of issues involving its autopilot and vision functions—as well as driver overconfidence—caused the crash a Florida that killed one of its enthusiastic supporters and brought to the forefront the risk involved in operating a supposedly autonomous driving system that turns out not to be.

Beyond the obvious risk to life and limb, there lurks another unresolved issue that could turn out to be an equally important factor to the success ...

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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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Susan Feldman Presents Cognitive Application Framework at CSIG

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Sue Feldman presented her work on developing a framework for analyzing cognitive computing applications at the Cognitive Systems Institute Group Speaker Series on September 1, 2016.

She described a general framework integrating business value, application behavior, technology deployed, and data sources curated. She also offered her views on the emerging continuum of cognitive applications, ranging from tightly honed expert systems to open, exploratory kinds of applications designed to promote serendipity.

Interaction context is another foundation element in cognitive applications, and Sue presented ...

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HP Announces API Combinations for Cognitive App Development

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HPE (Hewlett Packard Enterprise) has announced a new offering and marketplace infrastructure with the enviable title of HPE Haven OnDemand Combinations, designed to accelerate the development of “next generation cognitive applications.” The combinations are preconfigured sets or chains of APIs which have been available from HPE in the IDOL on-premise software and more recently offered in a variety of freemium and commercial packages through HPE’s Haven OnDemand cloud services.

HPE’s description of the new functionality can be found here:

https://community.havenondemand.com/t5/Blog/Introducing-the-fastest-way-to-add-intelligence-to-all-your-apps/ba-p/3227

Any application ...

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Legal Issues: Can we depend on algorithms to make decisions?

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In the cognitive computing era, there are plenty of tough technical challenges. Their difficulty pales, however, when compared to the social and legal issues these new technologies raise. Increasingly, we rely on algorithms to help us sort through the complex factors that lead to making a decision. Often this reliance is not based on knowing whether the algorithm is dependable. Articles by Julia Angwin in the New York Times and ProPublica on Aug. 1st celebrate a decision by the Wisconsin ...

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Cautionary Tales for Digital Assistant Apps

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Young human ex-question-answerer Biz Carson offers an insider’s look at human-assisted search apps and what can go wrong when developers leave humans and machines to collaborate to find the “best” answers to users’ questions. While she specifically points to Facebook’s M as a candidate for falling into some of the same negative dynamics that beset her former company (would-be search innovator ChaCha) in 2009, her experience sheds light equally well on any cognitive app being developed to provide more than ...

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