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DTSTART:20260308T030000
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DTSTART:20261101T010000
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DTSTAMP:20260725T165235Z
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DTSTART;TZID=America/Chicago:20260907T193000
DTEND;TZID=America/Chicago:20260907T210000
DESCRIPTION:Abstract:\n\nEnterprise IT operations are moving from tool-cent
 ric automation to outcome-driven agentic operations. This talk introduces 
 a unified Agentic AI operating platform where specialized AI agents collab
 orate across DevOps\, platform engineering\, development\, security\, data
 base\, API management\, network\, ECCB/CAB governance\, deployment automat
 ion\, multi-cloud\, Kubernetes\, monitoring\, and data platform operations
 . The target model is not uncontrolled automation: it is governed autonomy
 \, where agents plan\, validate\, summarize\, orchestrate\, and recommend 
 actions while human accountability\, approval gates\, audit controls\, and
  rollback readiness remain mandatory for high-risk changes.\n\nSpeaker(s):
  \, Justin Rajakumar Maria Thason\n\nVirtual: https://events.vtools.ieee.o
 rg/m/569151
LOCATION:Virtual: https://events.vtools.ieee.org/m/569151
ORGANIZER:wluo@stmarytx.edu
SEQUENCE:17
SUMMARY:Agentic AI and the Future of Enterprise Operations
URL;VALUE=URI:https://events.vtools.ieee.org/m/569151
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Enterpr
 ise IT operations are moving from tool-centric automation to outcome-drive
 n agentic operations. This talk introduces a unified Agentic AI operating 
 platform where specialized AI agents collaborate across DevOps\,&amp;nbsp\;pla
 tform engineering\, development\, security\, database\, API management\, n
 etwork\, ECCB/CAB governance\, deployment automation\, multi-cloud\, Kuber
 netes\, monitoring\, and data platform operations. The target model is not
 &amp;nbsp\;uncontrolled automation: it is governed autonomy\, where agents pla
 n\, validate\, summarize\, orchestrate\, and recommend actions while human
  accountability\, approval gates\, audit controls\, and rollback readiness
  remain&amp;nbsp\;mandatory for high-risk changes.&lt;/p&gt;
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