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DESCRIPTION:Click for Latest Location Information: http://edw2024.dataversi
 ty.net/sessionPop.cfm?confid=159&proposalid=15098\nToday, enterprises have 
 more tools to create and share information than ever before in our technolo
 gical history. As emails, text documents, sensor data, and rich media consu
 me more and more of our data infrastructure each year, the environmental im
 pact of this information is increasing exponentially. For example, the aver
 age carbon footprint of an email is 4g COe – with an attachment, 50g.
  Because of such phenomenal data growth, effective data management must be 
 part of any organization’s environmental, social, and governance (ESG
 ) goals. \n\nIn this talk, presenters will share how a large supply ch
 ain organization is employing a data-driven green strategy, rooted in real 
 carbon footprint statistics, to support information management sustainabili
 ty at the organization. Enterprise Knowledge will present how a machine lea
 rning framework is being applied to automatically identify duplicates and n
 ear-duplicates across content repositories at scale. The presentation will 
 also address how this information is then used for generating aggregate sta
 tistics and resultant carbon footprint to push for a cultural shift across 
 the organization towards greener information management.\n\nJoin us in this
  session to find out:\n\n	\n
 What is a Green Information Management (IM) Strategy, and why should you ha
 ve one?\n	\n	\n
 How can artificial intelligence (AI) and machine learning (ML) support Gree
 n IM Strategy through content deduplication?\n	\n	\n
 How can my organization use insights into our data to influence user behavi
 or with respect to information management?\n	\n	\n
 How can I reap additional benefits of content reduction that go beyond ESG 
 goals?\n	\n\n
DTSTART:20240327T120000
SUMMARY:Driving Behavioral Change for Information Management Through Data-D
 riven Green Strategy
DTEND:20240327T124459
LOCATION: See Description
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