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DESCRIPTION:Click for Latest Location Information: http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4715\nData science and data-driven culture have been the hallmarks of the most advanced enterprises for a while now. For years, PhDs from the hard sciences and biology flocked  to Wall Street. But recently, with the explosion of social media, they've headed to Silicon Valley--or, just as often, they've started up their own service companies wherever they are. Why social media? Because that's where the data is--big, open data. Data scientists love big, open data.\nA broader kind of data science is also seeping in to more established businesses, who've been learning how to tap into less structured data for their market insights. For a long time, some companies ignored social media activity because so much of the conversation seems trivial. But when they've done so, they've discovered they miss opportunity. Lately, they're finding out how to boost the signal and reduce the noise in social media conversations. Semantics is a big part of how to  increase the signal-to-noise ratio.\nOther rapidly developing data science areas beyond social media intelligence include these:\n? Exploratory analytics: finding the unknown unknowns in large datasets of any kind\n? Improved in-memory analytics: erasing the boundary between the data warehouse and real-time transaction systems\n? Ad-hoc analytics: bridging visualization and visually-oriented markup to do rapid, informal queries\n? Self-service BI: bringing reporting out to the business units\n? Continuous refinement: instrumenting processes to learn and respond as the customer environment changes\nThis presentation will provide a roadmap to emerging analytics opportunities for enterprises and a number of leading-edge case studies. Semantics aficionados will hear how convergence has moved to the data layer and how the revised online environment is being instrumented. The best analytics techniques reflect a deeper understanding of graphs and their interconnections.
DTSTART:20120606T120000
SUMMARY:Remapping the enterprise analytics landscape
DTEND:20120606T122959
LOCATION: See Description
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