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DTSTAMP:20260310T224759Z
DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9766\n<style type="text/css">p.
 p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Avenir}\nspan.s1 {font-ke
 rning: none}\n</style>\n<p>\n<style type="text/css">p.p1 {margin: 0.0px 0.0
 px 0.0px 0.0px; font: 11.0px Helvetica}\nspan.s1 {font-kerning: none}\n</st
 yle>\n</p>\n<p>When describing a product as &quot;data-driven&quot; or &quo
 t;fueled by machine learning,&quot;&nbsp;it can be difficult to parse a com
 mon, fundamental definition of what makes an application &quot;intelligent.
 &quot;&nbsp;In this talk, we will cover how you can peel back the buzzwords
  from the space of data science, machine learning, and artificial intellige
 nce. You will be able to:</p>\n<p>- Start sketching your own frameworks for
  understanding and evaluating these products</p>\n<p>- Better understand wh
 en things go wrong</p>\n<p>- Learn what design questions to ask before your
  systems go haywire</p>\n<p>- Know what questions to ask product vendors, a
 nd have a better understanding of their answers</p>\n
DTSTART:20180426T081500
SUMMARY:Understanding Products Driven by Machine Learning and AI: A Data Sc
 ientist Perspective
DTEND:20180426T091459
LOCATION: See Description
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