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DTSTAMP:20251229T001909Z
UID:7957FCBF-5F87-47A9-A7FD-872C4C267B1E
DTSTART;TZID=America/Denver:20250521T180000
DTEND;TZID=America/Denver:20250521T193000
DESCRIPTION:Abstract: Agentic AI marks a pivotal shift from traditional\, s
 upervised AI to autonomous agents capable of pursuing complex goals with m
 inimal input. This session introduces the core principles of Agentic AI\, 
 its differences from conventional models\, and its growing role in enterpr
 ise automation. The discussion will feature real-world examples from healt
 hcare\, finance\, and customer service to showcase how AI agents are strea
 mlining operations and enhancing human productivity and will feature emerg
 ing innovations like Google Cloud’s Agentspace and Salesforce’s Agentf
 orce 2.0. It also highlights key challenges—such as trust\, ethics\, and
  accountability—along with the guardrails needed for safe deployment. Th
 e session concludes with a look at research shaping the future of adaptive
 \, collaborative AI agents.\n\nSpeaker(s): Subbarao Pydikondala\n\nRoom: E
 CS 401\, Bldg: University of Denver Ritchie School of Engineering and Comp
 uter Science\, 2155 E Wesley Ave\, Denver\, Colorado\, United States\, 802
 08
LOCATION:Room: ECS 401\, Bldg: University of Denver Ritchie School of Engin
 eering and Computer Science\, 2155 E Wesley Ave\, Denver\, Colorado\, Unit
 ed States\, 80208
ORGANIZER:gowansj@outlook.com
SEQUENCE:13
SUMMARY:CIR &amp; CIS: The Rise of Agentic AI: Autonomy\, Orchestration\, and t
 he Future of Intelligent Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/483828
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; Agentic AI mark
 s a pivotal shift from traditional\, supervised AI to autonomous agents ca
 pable of pursuing complex goals with minimal input. This session introduce
 s the core principles of Agentic AI\, its differences from conventional mo
 dels\, and its growing role in enterprise automation. The discussion will 
 feature real-world examples from healthcare\, finance\, and customer servi
 ce to showcase how AI agents are streamlining operations and enhancing hum
 an productivity and will feature emerging innovations like Google Cloud&amp;rs
 quo\;s Agentspace and Salesforce&amp;rsquo\;s Agentforce 2.0. It also highligh
 ts key challenges&amp;mdash\;such as trust\, ethics\, and accountability&amp;mdash
 \;along with the guardrails needed for safe deployment. The session conclu
 des with a look at research shaping the future of adaptive\, collaborative
  AI agents.&lt;/p&gt;
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