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TZID:America/Chicago
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DTSTART:20200308T030000
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DTSTART:20191103T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20261011T121833
UID:144741@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20200203T110000
DTEND;TZID=America/Chicago:20200203T120000
DESCRIPTION:Machine learning (ML) has proven itself in high-value web appli
 cations such as search ranking and is emerging as a powerful tool in a muc
 h broader range of enterprise scenarios. In this talk\, we present our vis
 ion of how ML and database systems are likely to come together\, and early
  steps we take towards making this vision a reality.\n\nCONTACT: shaleen@c
 s.wisc.edu\n\nURL: https://azuredata.microsoft.com/publications/3cc574a2-7
 c0f-4305-a796-3ef730fb41b0
LOCATION:CS 2310\, Computer Sciences
SUMMARY:Cloudy with high chance of DBMS: A 10-year prediction for Enterpris
 e-Grade ML
URL;VALUE=URI:https://azuredata.microsoft.com/publications/3cc574a2-7c0f-43
 05-a796-3ef730fb41b0
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