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PRODID:IEEE vTools.Events//EN
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TZID:US/Eastern
BEGIN:DAYLIGHT
DTSTART:20210314T030000
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DTSTART:20201101T010000
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BEGIN:VEVENT
DTSTAMP:20210219T151015Z
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DTSTART;TZID=US/Eastern:20210218T180000
DTEND;TZID=US/Eastern:20210218T210000
DESCRIPTION:Enterprises are increasingly storing large volumes of unstructu
 red data. However\, irrespective of the data format or type\, unstructured
  data is difficult to secure and control its transfer. This is a major pro
 blem due to evolving compliance policies and the need to adhere to standar
 ds such as GDPR. Through derivative data security practices\, enterprises 
 can utilize machine learning and deep learning techniques to determine and
  trace clones and derivatives of unstructured data across the enterprise. 
 In this talk\, Zia Babar will provide a background on data security approa
 ches\, and provide a demonstration on machine learning and deep learning t
 echniques can be used for providing derivative data security.\n\nSpeaker(s
 ): Zia Babar\, \n\nAgenda: \n6:00 PM --- Virtual Registration and welcome 
 remarks by session chair and vice chair\n\n6:20 PM --- Technical Session\n
 \n8:20 PM --- Floor Open for discussion and Q & A\n\n8:50 PM --- Closing\n
 \nVirtual: https://events.vtools.ieee.org/m/252704
LOCATION:Virtual: https://events.vtools.ieee.org/m/252704
ORGANIZER:y.abbas@ieee.org
SEQUENCE:15
SUMMARY:Derivative Data Security using Artificial Intelligence 
URL;VALUE=URI:https://events.vtools.ieee.org/m/252704
X-ALT-DESC:Description: <br /><p><span style="font-size: 14pt\; font-family
 : arial\, helvetica\, sans-serif\;">Enterprises are increasingly storing l
 arge volumes of unstructured data. However\, irrespective of the data form
 at or type\, unstructured data is difficult to secure and control its tran
 sfer. This is a major problem due to evolving compliance policies and the 
 need to adhere to standards such as GDPR. Through derivative data security
  practices\, enterprises can utilize machine learning and deep learning te
 chniques to determine and trace clones and derivatives of unstructured dat
 a across the enterprise. In this talk\, Zia Babar will provide a backgroun
 d on data security approaches\, and provide a demonstration on machine lea
 rning and deep learning techniques can be used for providing derivative da
 ta security.</span></p><br /><br />Agenda: <br /><p>6:00 PM --- Virtual Re
 gistration and welcome remarks by session chair and vice chair</p>\n<p>6:2
 0 PM --- Technical Session&nbsp\;</p>\n<p>8:20 PM --- Floor Open for discu
 ssion and Q &amp\; A</p>\n<p>8:50 PM --- Closing</p>
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