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DTSTART;TZID=Europe/Madrid:20260917T131700
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DTSTAMP:20260920T115214Z
CREATED:20260920T115214Z
LAST-MODIFIED:20260920T115214Z
UID:1683-1789651020-1789653464@tecnowebinars.com
SUMMARY:Garbage In\, Garbage Faster: Why Agentic AI Exposes Your Organisational Debt
DESCRIPTION:If Agentic AI follows your documented processes\, what happens when those processes don’t reflect reality? \nMost organisations assume AI will figure things out. Business Architect Laura Van Weegen argues the opposite: AI doesn’t create new problems — it removes your ability to ignore the ones that have existed forever and a day. Undocumented workflows\, undefined decision ownership\, and human workarounds masking broken systems all get amplified at machine speed. \nYou’ll learn:• Why «garbage in\, garbage faster» is the real Agentic AI risk• The critical difference between feeding AI data versus information• How process debt compounds the same way technical debt does• Why exception handling is the new decision design priority• What one conversation reveals more than most AI readiness assessments• How to build explainability in from day one \nKey topics:Agentic AI readiness • Information architecture • Process debt • Data vs information • Contextual blindness • Decision ownership • Explainability vs traceability • Semantic infrastructure • Exception handling • Organisational accountability • Workflow documentation • AI governance \nEssential viewing for CISOs\, CIOs\, CFOs\, and Chief Legal Officers evaluating Agentic AI deployment — before the human safety net disappears. \nPonentes: Business Architect\, Laura Van Weegen. Stewart Tinson\, Project Director; AI-360 \nVer y registrarse en BrightTALK
URL:https://tecnowebinars.com/evento/garbage-in-garbage-faster-why-agentic-ai-exposes-your-organisational-debt/
CATEGORIES:IA
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