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DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7653\nKnowledge Management promised “the right information to the right person and the right time”, but the technology to deliver has been lacking.  “Best Practices” are still entombed in document repositories, the attempts of experts to express their knowledge in the hope that others will be able to find and then have time to read them.  In contrast, cognitive memories provide instant and autonomous machine learning, more similar to human learning rather than traditional machine learning. Based on reasoning by similarity to experience and the social sharing of experience, proofs of improved accuracy, saved time, reduced care and feeding, and significant ROI business cases will be referenced. These referenced business cases range from national security, healthcare and high tech chip manufacturing. Moreover, a cognitive solution to issue and defect resolution will demonstrate the lookup of similar cases, relevant experts, learned predictions, and proscriptive recommendations, learning from one situation to the next, from one user to another, to bring the knowledge of many to one.\nIn this session we will discuss:\nCognitive Computing requires autonomous learning to be “smart”\nHuman learning is memory-based, reasoning from case experience\nMemory-based learning instantly captures the tacit behavior of workers\nExperience-based reasoning recalls cases, persons, actions, and outcomes\nBusiness benefits gained by applying this cognitive computing technology are demonstrated by differentiated accuracy, time, cost, ROI
DTSTART:20150818T140000
SUMMARY:A Cognitive Computing Approach to Automatically Capturing, Storing and Sharing Distributed Knowledge Across the Enterprise
DTEND:20150818T144459
LOCATION: See Description
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