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DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10290\n<div>In recent years the
  topic of Artificial Intelligence (AI) has become dominant as a technology 
 trend and is influencing almost every business. AI should not be reduced to
  &lsquo;yet another new technology&rsquo;, but should be discussed on an or
 ganizational, legal, and ethical layer. Many organizations are just beginni
 ng their AI journey. The cost saving opportunities are equalized by huge in
 vestments, but it&rsquo;s not about costs only: AI is a main driver for inn
 ovation and growth and gamechanging applications can be found in all indust
 ries.</div>\n<p><strong>Semantic AI is an approach that comes with technica
 l and organizational advantages. </strong>It&rsquo;s more than &lsquo;anoth
 er machine learning algorithm&rsquo;. It&rsquo;s rather an AI strategy base
 d on technical and organisational measures, which get implemented along the
  whole data lifecycle.</p>\n<p>It provides a foundation for an enterprise-w
 ide AI rollout including:</p>\n<div>&bull;<span style="white-space:pre"> </
 span>Data Quality</div>\n<div>&bull;<span style="white-space:pre"> </span>D
 ata-as-a-Service</div>\n<div>&bull;<span style="white-space:pre"> </span>No
  black-box (explainableAI)</div>\n<div>&bull;<span style="white-space:pre">
  </span>Hybrid approach (symbolic &amp; statistical)</div>\n<div>&bull;<spa
 n style="white-space:pre"> </span>Structured data meets text</div>\n<div>&b
 ull;<span style="white-space:pre"> </span>Towards self optimizing machine</
 div>\n
DTSTART:20190319T101500
SUMMARY:Benefiting from Semantic AI Along the Data Lifecycle
DTEND:20190319T111459
LOCATION: See Description
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