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PRODID:IEEE vTools.Events//EN
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DTSTART:20210314T030000
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DTSTART:20211107T010000
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DTSTAMP:20210317T162617Z
UID:35CBC055-0D1B-49F4-B716-586050BFE607
DTSTART;TZID=US/Eastern:20210317T103000
DTEND;TZID=US/Eastern:20210317T120000
DESCRIPTION:The presentation reviews some of the main directions in AI at F
 ord. The focus is on the use of data\, analytics\, and AI as key enablers 
 of the plan for modernizing Ford Motor Company operations. The disruptive 
 role of AI in the digital transformation of Ford in a time of unprecedente
 d change in vehicle technology\, mobility and connectivity is discussed. E
 xamples of applications to vehicle engineering\, delivery of personalized 
 mobility experiences and business practices are reviewed. The presentation
  concludes with the lessons learned and future trends in integrating AI te
 chnologies within the design of modern vehicles and services.\n\nSpeaker(s
 ): Dr. Ken Washington\, \n\nWebinar\, Boston\, Massachusetts\, United Stat
 es\, Virtual: https://events.vtools.ieee.org/m/256616
LOCATION:Webinar\, Boston\, Massachusetts\, United States\, Virtual: https:
 //events.vtools.ieee.org/m/256616
ORGANIZER:ieeebostonsection@gmail.com
SEQUENCE:8
SUMMARY:AI Webinar Series: Artificial Intelligence (AI) What&#39;s in it for me
 ? - Ford Motor Company AI Journey – Status &amp; Trends - Dr. Ken Washington
  – Chief Technology Officer\, Ford Motor Company
URL;VALUE=URI:https://events.vtools.ieee.org/m/256616
X-ALT-DESC:Description: &lt;br /&gt;&lt;div id=&quot;elementor-tab-title-2372&quot; class=&quot;ele
 mentor-tab-title elementor-active&quot; role=&quot;tab&quot; data-tab=&quot;2&quot; aria-controls=&quot;
 elementor-tab-content-2372&quot;&gt;The presentation reviews some of the main dire
 ctions in AI at Ford. The focus is on the use of data\, analytics\, and AI
  as key enablers of the plan for modernizing Ford Motor Company operations
 . The disruptive role of AI in the digital transformation of Ford in a tim
 e of unprecedented change in vehicle technology\, mobility and connectivit
 y is discussed. Examples of applications to vehicle engineering\, delivery
  of personalized mobility experiences and business practices are reviewed.
  The presentation concludes with the lessons learned and future trends in 
 integrating AI technologies within the design of modern vehicles and servi
 ces.&lt;/div&gt;
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