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BEGIN:VEVENT
UID:e33b070f8878f81945c956ca5c4b9a9482f15b39@swoogo.com
DTSTAMP:20260516T205402Z
DESCRIPTION: \n\nWORKSHOP SUMMARY \n\nThe adoption of artificial intelligen
 ce (AI) products and services for the healthcare industry—such as predicti
 ve analytics\, medical imaging analysis\, and automated administrative pro
 cesses—is projected to experience significant growth in the coming years. 
  \n\n 	* While this expansion promises substantial benefits\, it also intro
 duces several critical challenges. These include ensuring regulatory compl
 iance\, maintaining AI model transparency\, preventing AI manipulation\, a
 nd safeguarding data privacy and security to name a few.  \n\nAddressing t
 hese issues is essential to ensure that AI technologies are deployed ethic
 ally and responsibly\, mitigating risks while maximizing their potential p
 ositive impact to the industry. \n\n 	* This workshop outlines the componen
 ts required to establish an AI Governance program\, including the people\,
  process and technology that drives the programs operation. \n 	* It will a
 lso touch on the new amount of increased output and visibility that you wi
 ll be presented with and two secrets to help automate lower and mid-level 
 risk or issues with automation and risk calculations so your teams can foc
 us on the high risks/issues. \n\nATTENDEES CAN EXPECT TO LEARN HOW TO \n\n
  	* RUN PROACTIVE AI/IT/OT ASSET MANAGEMENT DEPLOYMENTS\, VS REACTIVE BREAK
 /FIX LEGACY PROGRAMS... by integrating data between asset visibility\, dep
 loyment context\, cyber vulnerabilities/incidents\, controls and operation
 al risks by aggregating risk factors. \n 	* ENABLE YOUR TEAM TO FOCUS ON HI
 GH RISKS\, by automating low/medium level issues\, risks and incidents 
DTSTART:20250319T160000Z
DTEND:20250319T210000Z
LAST-MODIFIED:20260516T205402Z
LOCATION:Community Health Network\, 7351 Shadeland Station\, 1st Floor West
  Conference Room 1A/1B\, Indianapolis\, IN 46256\, United States
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Establishing AI Governance and Streamline Security Operations withi
 n the ServiceNow Platform
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p> </p>\n\n<p><strong><span style='text-decor
 ation:underline\;'>Workshop Summary </span></strong></p>\n\n<p>The adoptio
 n of artificial intelligence (AI) products and services for the healthcare
  industry—such as predictive analytics\, medical imaging analysis\, and au
 tomated administrative processes—is projected to experience significant gr
 owth in the coming years.  </p>\n\n<ul>\n	<li>While this expansion promises
  substantial benefits\, it also introduces several critical challenges. Th
 ese include ensuring regulatory compliance\, maintaining AI model transpar
 ency\, preventing AI manipulation\, and safeguarding data privacy and secu
 rity to name a few.  </li>\n</ul>\n\n<p>Addressing these issues is essenti
 al to ensure that AI technologies are deployed ethically and responsibly\,
  mitigating risks while maximizing their potential positive impact to the 
 industry. </p>\n\n<ul>\n	<li>This workshop outlines the components required
  to establish an AI Governance program\, including the people\, process an
 d technology that drives the programs operation. </li>\n	<li>It will also t
 ouch on the new amount of increased output and visibility that you will be
  presented with and two secrets to help automate lower and mid-level risk 
 or issues with automation and risk calculations so your teams can focus on
  the high risks/issues. </li>\n</ul>\n\n<p><strong><span style='text-decor
 ation:underline\;'>Attendees Can Expect to Learn How To </span></strong></
 p>\n\n<ol>\n	<li><strong>Run proactive AI/IT/OT asset management deployment
 s\, VS reactive break/fix legacy programs... </strong>by integrating data 
 between asset visibility\, deployment context\, cyber vulnerabilities/inci
 dents\, controls and operational risks by aggregating risk factors. </li>
 \n	<li><strong>Enable your team to focus on high risks</strong>\, by automa
 ting low/medium level issues\, risks and incidents </li>\n</ol>
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