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DTSTART;TZID=America/Los_Angeles:20260611T173000
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DESCRIPTION:Artificial intelligence is rapidly moving beyond isolated copil
 ots and prototypes into enterprise-scale systems that must operate reliabl
 y across infrastructure\, workflows\, teams\, and governance boundaries.\n
 \nYet many organizations still struggle to move from experimentation to du
 rable operational impact.\n\nThis session explores what it actually takes 
 to build “agent-ready” organizations in the emerging era of agentic AI
 .\n\nTopics will include:\n\n- Why many enterprise AI initiatives stall af
 ter the prototype stage\n- The shift from models → systems → autonomou
 s workflows\n- Agentic AI architectures and orchestration patterns\n- Infr
 astructure realities: edge\, cloud\, distributed inference\, and scalabili
 ty\n- Governance\, evaluation\, and human-in-the-loop design\n- Organizati
 onal readiness and AI operating models\n- Practical lessons from enterpris
 e AI deployments\, startups\, and research ecosystems\n\nThe session will 
 combine systems-level technical insight with practical enterprise transfor
 mation perspectives for engineers\, researchers\, startup founders\, and t
 echnology leaders interested in operationalizing AI responsibly and effect
 ively.\n\nSpeaker(s): Chhavi\, \n\nAgenda: \nAgenda\n\n- San Diego IEEE & 
 WIE\n- Introductions\n- Speaker Presentation\n- Queestions and Answer\n- U
 pcoming Sessions & Events\n\nVirtual: https://events.vtools.ieee.org/m/559
 053
LOCATION:Virtual: https://events.vtools.ieee.org/m/559053
ORGANIZER:drafrisbie@gmail.com
SEQUENCE:57
SUMMARY:From AI Prototypes to Agent-Ready Organizations Building AI Systems
  That Work in the Real World
URL;VALUE=URI:https://events.vtools.ieee.org/m/559053
X-ALT-DESC:Description: <br /><p>Artificial intelligence is rapidly moving 
 beyond isolated copilots and prototypes into enterprise-scale systems that
  must operate reliably across infrastructure\, workflows\, teams\, and gov
 ernance boundaries.</p>\n<p>Yet many organizations still struggle to move 
 from experimentation to durable operational impact.</p>\n<p>This session e
 xplores what it actually takes to build &ldquo\;agent-ready&rdquo\; organi
 zations in the emerging era of agentic AI.</p>\n<p>Topics will include:</p
 >\n<ul>\n<li>Why many enterprise AI initiatives stall after the prototype 
 stage</li>\n<li>The shift from models &rarr\; systems &rarr\; autonomous w
 orkflows</li>\n<li>Agentic AI architectures and orchestration patterns</li
 >\n<li>Infrastructure realities: edge\, cloud\, distributed inference\, an
 d scalability</li>\n<li>Governance\, evaluation\, and human-in-the-loop de
 sign</li>\n<li>Organizational readiness and AI operating models</li>\n<li>
 Practical lessons from enterprise AI deployments\, startups\, and research
  ecosystems</li>\n</ul>\n<p>The session will combine systems-level technic
 al insight with practical enterprise transformation perspectives for engin
 eers\, researchers\, startup founders\, and technology leaders interested 
 in operationalizing AI responsibly and effectively.</p><br /><br />Agenda:
  <br /><h2>Agenda</h2>\n<p>&nbsp\;</p>\n<ul>\n<li>San Diego IEEE &amp\; WI
 E&nbsp\;</li>\n<li>Introductions</li>\n<li>Speaker Presentation</li>\n<li>
 Queestions and Answer</li>\n<li>Upcoming Sessions &amp\; Events</li>\n</ul
 >
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