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DTSTART:20170312T030000
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DTSTAMP:20170506T160529Z
UID:C0161B4E-2B77-11E7-8752-0050568D2FB3
DTSTART;TZID=America/Los_Angeles:20170511T173000
DTEND;TZID=America/Los_Angeles:20170511T190000
DESCRIPTION:Presented by the IEEE Computer\, Computational Intelligence\, Y
 oung Professionals\, Women in Engineering\, and by: Tech San Diego\, Analy
 tics Ventures\n\nAbstract:\nArtificial intelligence (AI) is undergoing a v
 igorous resurgence\, fueled by the success of deep learning algorithms. Wi
 th rapid innovation in software and hardware to build deep learning models
 \, however\, organizations face the challenge to select the right tools th
 at will enable them to leverage AI in enterprise applications. This drives
  the business need for a common process and open standard to simplify the 
 operational deployment and integration of machine learning algorithms.\n\n
 Beginning with an overview of current investments and common use cases\, w
 e will discuss state-of-the-art deep learning tools and how to exchange mo
 dels between different applications based on the Predictive Model Markup L
 anguage (PMML) industry standard. Most importantly\, this presentation wil
 l explore the future of AI in the enterprise and what needs to happen for 
 AI to deliver its full potential rather than fading (again) once the curre
 nt hype subsides.\n\nSpeaker(s): Dr. Michael Zeller\, \, Dr. Michael Zelle
 r\, \, Dr. Michael Zeller\, \n\nAgenda: \n5:30 - 6:00 Networking and refre
 shments\n\n6:00 - 7:00 Talk\n\nRoom: Auditorium B210-212\, Bldg: Parking i
 s $5 at Hopkins Drive or Pangea Drive structures\, San Diego Supercomputer
  Center (SDSC)\, 10100 Hopkins Drive\, La Jolla\, California\, United Stat
 es\, 92093
LOCATION:Room: Auditorium B210-212\, Bldg: Parking is $5 at Hopkins Drive o
 r Pangea Drive structures\, San Diego Supercomputer Center (SDSC)\, 10100 
 Hopkins Drive\, La Jolla\, California\, United States\, 92093
ORGANIZER:charliebird@ieee.org
SEQUENCE:21
SUMMARY:AI and Deep Learning in the Enterprise with Dr. Michael Zeller
URL;VALUE=URI:https://events.vtools.ieee.org/m/45278
X-ALT-DESC:Description: &lt;br /&gt;&lt;p id=&quot;yui_3_16_0_ym19_1_1493330241720_5997&quot;&gt;
 &lt;strong id=&quot;yui_3_16_0_ym19_1_1493330241720_6000&quot;&gt;&lt;span id=&quot;yui_3_16_0_ym1
 9_1_1493330241720_5999&quot;&gt;Presented by the IEEE Computer\, Computational Int
 elligence\, Young Professionals\, Women in Engineering\,&amp;nbsp\;and by: Tec
 h San Diego\, Analytics Ventures&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong id=&quot;yui_3
 _16_0_ym19_1_1493330241720_6000&quot;&gt;&lt;span id=&quot;yui_3_16_0_ym19_1_1493330241720
 _5999&quot;&gt;Abstract:&amp;nbsp\;&lt;br /&gt;&lt;/span&gt;&lt;/strong&gt;&lt;span id=&quot;yui_3_16_0_ym19_1_1
 493330241720_5998&quot;&gt;Artificial intelligence (AI) is undergoing a vigorous r
 esurgence\, fueled by the success of deep learning algorithms. With rapid 
 innovation in software and hardware to build deep learning models\, howeve
 r\, organizations face the challenge to select the right tools that will e
 nable them to leverage AI in enterprise applications. This drives the busi
 ness need for a common process and open standard to simplify the operation
 al deployment and integration of machine learning algorithms.&lt;/span&gt;&lt;/p&gt;\n
 &lt;p id=&quot;yui_3_16_0_ym19_1_1493330241720_5989&quot;&gt;&lt;span id=&quot;yui_3_16_0_ym19_1_1
 493330241720_5988&quot;&gt;Beginning with an overview of current investments and c
 ommon use cases\, we will discuss state-of-the-art deep learning tools and
  how to exchange models between different applications based on the Predic
 tive Model Markup Language (PMML) industry standard. Most importantly\, th
 is presentation will explore the future of AI in the enterprise and what n
 eeds to happen for AI to deliver its full potential rather than fading (ag
 ain) once the current hype subsides.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /
 &gt;Agenda: &lt;br /&gt;&lt;p style=&quot;margin: 0in 0in 7.5pt 0in\;&quot;&gt;&lt;span style=&quot;font-si
 ze: 10.5pt\; font-family: Verdana\; color: #616161\;&quot;&gt;5:30 - 6:00 Networki
 ng and refreshments&lt;/span&gt;&lt;/p&gt;\n&lt;p style=&quot;box-sizing: border-box\; font-va
 riant-caps: normal\; orphans: auto\; text-align: start\; widows: auto\; -w
 ebkit-text-size-adjust: auto\; -webkit-text-stroke-width: 0px\; word-spaci
 ng: 0px\; margin: 0in 0in 7.5pt 0in\;&quot;&gt;&lt;span style=&quot;font-size: 10.5pt\; fo
 nt-family: Verdana\; color: #616161\;&quot;&gt;6:00 - 7:00 Talk&lt;/span&gt;&lt;/p&gt;
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