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DTSTART:20260308T030000
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DTSTAMP:20260918T015443Z
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DTSTART;TZID=America/New_York:20261023T130000
DTEND;TZID=America/New_York:20261023T140000
DESCRIPTION:As financial institutions accelerate the adoption of generative
  AI and autonomous systems\, balancing rapid innovation with regulatory ri
 sk and model reliability has become critical. This session breaks down pra
 ctical architectural patterns for implementing human-in-the-loop (HITL) ov
 ersight across enterprise data platforms. We will explore how engineering 
 and data teams can establish automated guardrails\, risk controls\, and va
 lidation gates at scale\, moving trust from an abstract concept into day-t
 o-day platform architecture.\n\nSpeaker(s): Prashant Saurabh Singh\n\nVirt
 ual: https://events.vtools.ieee.org/m/576805
LOCATION:Virtual: https://events.vtools.ieee.org/m/576805
ORGANIZER:anujdonvir@ieee.org
SEQUENCE:30
SUMMARY:Operationalizing Trust: A Human-in-the-Loop (HITL) Governance Frame
 work for GenAI in Banking
URL;VALUE=URI:https://events.vtools.ieee.org/m/576805
X-ALT-DESC:Description: <br /><p>As financial institutions accelerate the a
 doption of generative AI and autonomous systems\, balancing rapid innovati
 on with regulatory risk and model reliability has become critical. This se
 ssion breaks down practical architectural patterns for implementing human-
 in-the-loop (HITL) oversight across enterprise data platforms. We will exp
 lore how engineering and data teams can establish automated guardrails\, r
 isk controls\, and validation gates at scale\, moving trust from an abstra
 ct concept into day-to-day platform architecture.</p>
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