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DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7947\nThe majority of industrial data is generated from thousands of diverse sensors. That data is little more than noise unless it is understood, which makes it “smart” data. The domain knowledge needed to understand data is found in many places: subject matter experts, database schemas, language, control systems and configuration databases.\nIndustry needs to deploy new ways – and at new scales – to create and collect metadata so that it can be better understood and then smartly integrated with other enterprise data generated by customers, sourcing, the supply chain and workers. With the consumer Internet, machine learning and search have developed systems to use metadata to better understand data. These approaches have lagged within the enterprise and especially within industrial companies.\nWe will present several unique technologies that we have developed to bring structured domain knowledge to data management in industry. We will also present a novel approach to organizing information and retrieval challenges in industrial applications so that, like search on the Internet, platforms can support the creation of value-adding applications.
DTSTART:20150819T100000
SUMMARY:Leveraging AI on Data to Get Smarter Faster
DTEND:20150819T104459
LOCATION: See Description
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