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DTSTAMP:20260511T034309Z
DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9768\n<style type="text/css">p.
 p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Helvetica}\np.p2 {margin:
  0.0px 0.0px 0.0px 0.0px; font: 11.0px Helvetica; min-height: 13.0px}\nspan
 .s1 {font-kerning: none}\n</style>\n<p>\n<style type="text/css">p.p1 {margi
 n: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Arial; color: #232323}\np.p2 {marg
 in: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Arial; color: #232323; min-height
 : 11.0px}\nspan.s1 {font-kerning: none}\n</style>\n</p>\n<p>&quot;Data scie
 nce&quot; has become nearly a household phrase, but disagreement still rema
 ins about the skills a successful practitioner should have. One area of exp
 ertise whose importance is difficult to overstate is communication, specifi
 cally with a non-technical audience.</p>\n<p>The strategy we&#39;ve adopted
  at Bonobos results in an approach that we refer to as &quot;data products&
 quot;. Our team produces solutions that sometimes rely on machine learning,
  and sometimes are mostly engineering-focused, but in every case their prim
 ary function is to meet a specific source of demand by addressing a particu
 lar (frequently internal) customer pain point.</p>\n<p>Using this approach,
  the tools of traditional product management can be directly applied by dat
 a scientists to ensure the efficiency of their efforts and the adoption of 
 their solutions.</p>\n
DTSTART:20180424T113000
SUMMARY:Data Products
DTEND:20180424T122959
LOCATION: See Description
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