{"id":18835,"date":"2024-04-09T10:08:29","date_gmt":"2024-04-09T15:08:29","guid":{"rendered":"https:\/\/uwm.edu\/engineering\/?post_type=tribe_events&#038;p=18835"},"modified":"2024-04-09T16:40:49","modified_gmt":"2024-04-09T21:40:49","slug":"computer-science-lecture-for-broad-audiences-by-nvidia-engineer-and-alum","status":"publish","type":"tribe_events","link":"https:\/\/uwm.edu\/engineering\/event\/computer-science-lecture-for-broad-audiences-by-nvidia-engineer-and-alum\/","title":{"rendered":"A Fundamental Challenge of Data (for a general audience); 2:30 \u2013 3:30 p.m."},"content":{"rendered":"<p>Daniel Spiewak (\u201812 BS computer science), a Distinguished Engineer at NVIDIA and previously chief architect at Disney Streaming, presents a computer science talk for broad audiences.<\/p>\n<p>Description: Data is one of the most valuable commodities in the world. It is the inescapable foundation of any and all AI. And yet, data management, transformation, and utilization remain incredibly hard problems, nearly intractably difficult at exascale. In this talk, we will discuss some of the reasons why this is so, why it will always be so, and the fundamental building blocks we can use to find some solace in this impossible yet unavoidable problem.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Daniel Spiewak (\u201812 BS computer science), a Distinguished Engineer at NVIDIA and previously chief architect at Disney Streaming, presents a computer science talk for broad audiences. Description: Data is one of the most valuable commodities in the world. 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