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DESCRIPTION:Click for Latest Location Information: http://edw2016.dataversity.net/sessionPop.cfm?confid=94&proposalid=8955\nData science within a large enterprise requires a new way of thinking about and solving problems. Yes, there are many tools available for specific data analysis, but the larger challenge is that effective data science is often a collaborative effort, with the objective of providing for data-­enabled decision making at scale. The larger challenges are typically around people, purpose and process, including scaling the workflows necessary to achieve effective data science outcomes across an enterprise.\nWhat is programmability of the process at the boundary of data, computing and analytical systems?\nHow can we keep the process accountable, useful and, to a large extent, automatable?\nHow can we achieve the best performance through the process?\nHow can we report through the process?
DTSTART:20160419T153000
SUMMARY:Data Science Thinking for the Evolving Plethora of Applications
DTEND:20160419T165959
LOCATION: See Description
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