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Data & AI Weekly
On-demand video from Data & AI Weekly

When AI Governance Fails: Who's Accountable When Agents Get It Wrong

Data & AI Weekly · Ep. 10
Weekly | Tuesday at 9AM PT
When AI Governance Fails: Who's Accountable When Agents Get It Wrong

AI is no longer confined to dashboards and pilots. It's shaping pricing, customer decisions, and regulated outcomes, and Gartner sees weak accountability, not model performance, becoming the leading cause of enterprise AI failure through 2028.

In this episode, Daniel Takabayashi, Staff Forward Deployed Engineer at Redpanda, unpacks the harder question data and AI leaders now face: not whether their AI is accurate, but whether they can show who owns a given decision, and whether that answer would hold up if a customer, auditor, or board member asked tomorrow. Watch for a practical walkthrough of what's driving this shift and what teams should have in place before it becomes their problem.

Learn from these experts

Daniel Takabayashi

Staff Forward Deployed Engineer • Redpanda

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Rivian and Volkswagen Group Technologies
Activision
Akamai Technologies
Aquatic
Chess.com
Cisco Systems
Dun & Bradstreet
Fortis Games
LiveRamp
Moody's
Nanit
NYSE
Optimizely
Poolside
Sovrn
StoneX
Teads
Texas Instruments
The Hotels Network
Truecaller
Vodafone
Wunderkind
Zafin

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