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DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10520\nVery rarely does a singl
 e observation (piece of data) contain sufficient evidence to make a fine-gr
 ained prediction about opportunity or risk.  Organizations attempting 
 to make the most out of what they know must first be able to see how observ
 ations relate to other observations.  Much like the difference between
  a lone puzzle piece vs. a picture of connected puzzle pieces – this 
 big picture is essential to better business decisions.  More data, in 
 context, makes it possible to lower false positives and false negatives at 
 the same time.  While these techniques are useful in marketing and nex
 t best action systems, more importantly these techniques are essential in t
 he discovery of skilled criminals.  In this presentation, applications
  of context computing in the hunt for criminal activity will be discussed a
 nd with a focus on Big Data and bad guy hunting in the financial services s
 ector.
DTSTART:20190320T170000
SUMMARY:Bad Guy Hunting: Finding Weak Signal in Big Data 
DTEND:20190320T174459
LOCATION: See Description
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