DataOps has emerged as an agile methodology to improve the speed and accuracy of analytics through new data management practices and processes, from data quality and integration through to model deployment and management. However, DataOps is not yet well-understood, says Mark Marinelli, head of product at Tamr, who will lead the DataOps 101 workshop at Data Summit 2019, on Monday, May 20, from 9 am to 12 noon.
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According to David Weinberger, a senior researcher at Harvard's Berkman Klein Center for Internet & Society, machine learning's importance is not only in the benefits its use brings, but also in how it is transforming our understanding of how the world works and our most basic strategies for dealing with the future. At Data Summit 2019 in Boston, Weinberger will consider the implications of machine learning and explore what it means for society and our moral sense of the world.
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A.M. Turing Award Laureate and database technology pioneer Michael Stonebraker will deliver the opening keynote at Data Summit 2019. The sixth annual Data Summit conference will be held in Boston, May 21-22, 2019, with pre-conference workshops on May 20. Registration is now open.
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From AI and machine learning to data discovery and real-time analytics, creating a strong data architecture strategy is critical to supporting an organization's data-driven goals. DBTA recently held a roundtable webinar with Michael Coburn, product manager, PMM, Percona; Tyler Mitchell, senior product marketing manager, Couchbase; and Max Neunhöffer, senior developer and architect, ArangoDB, who discussed the top trends in modern data architecture for 2019.
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