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DTSTART:20260308T030000
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DTSTAMP:20260904T135553Z
UID:428F1C62-587D-4FAC-85BA-5A414A33C298
DTSTART;TZID=America/New_York:20260916T120000
DTEND;TZID=America/New_York:20260916T130000
DESCRIPTION:Talk Series: GAP 0.1 (5th Talk)\n\nCo-sponsored by: Olsen Colle
 ge of Engineering and Science\, FDU\, Teaneck\, NJ 07666\n\nSpeaker(s): Sa
 tya \n\nAgenda: \nAbstract\n\nAs enterprise software shifts from fixed\, p
 er-seat SaaS licensing to dynamic\, activity-based AI consumption (tokens\
 , credits\, and capacity)\, traditional cost models no longer suffice. Thi
 s session introduces AI FinOps—a discipline tailored to manage the unpre
 dictable costs driven by user prompts\, multi-step agents\, and model arch
 itectures. It outlines the five foundational pillars of AI governance (inv
 entory\, visibility\, attribution\, guardrails\, and value)\, examines the
  continuous optimization lifecycle\, and explores how Agentic FinOps can a
 utonomously assist with telemetry\, policy enforcement\, and cost optimiza
 tion.\n\nRoom: 205\, Bldg: Becton Hall \, 960 River Road\, TEANECK\, New J
 ersey\, United States\, 07666\, Virtual: https://events.vtools.ieee.org/m/
 575822
LOCATION:Room: 205\, Bldg: Becton Hall \, 960 River Road\, TEANECK\, New Je
 rsey\, United States\, 07666\, Virtual: https://events.vtools.ieee.org/m/5
 75822
ORGANIZER:avatsa@fdu.edu
SEQUENCE:4
SUMMARY:Cloud Economics and AI FinOps: Architectural Governance\, Unit Econ
 omics\, and Autonomous Cost Optimization 
URL;VALUE=URI:https://events.vtools.ieee.org/m/575822
X-ALT-DESC:Description: <br /><h1 style="mso-add-space: auto\; text-align: 
 center\; text-indent: .5in\; margin: 0in 92.5pt .0001pt .5in\;" align="cen
 ter"><span style="font-size: 14.0pt\; color: #ee0000\;">Talk Series: GAP 0
 .1 (5<sup>th</sup> Talk)</span></h1><br /><br />Agenda: <br /><h1 style="m
 argin-left: .5in\; mso-add-space: auto\;"><span style="font-size: 14.0pt\;
  color: #ee0000\;">Abstract</span></h1>\n<p class="MsoNormal" style="text-
 align: justify\; mso-pagination: widow-orphan\; text-autospace: ideograph-
 numeric ideograph-other\; margin: 0in 45.0pt .0001pt .5in\;"><span style="
 font-size: 12.0pt\; color: #242424\; background: white\;">As enterprise so
 ftware shifts from fixed\, per-seat SaaS licensing to dynamic\, activity-b
 ased AI consumption (tokens\, credits\, and capacity)\, traditional cost m
 odels no longer suffice. This session introduces AI FinOps&mdash\;a discip
 line tailored to manage the unpredictable costs driven by user prompts\, m
 ulti-step agents\, and model architectures. It outlines the five foundatio
 nal pillars of AI governance (inventory\, visibility\, attribution\, guard
 rails\, and value)\, examines the continuous optimization lifecycle\, and 
 explores how Agentic FinOps can autonomously assist with telemetry\, polic
 y enforcement\, and cost optimization.</span></p>
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