About this video
Amit Shivpuja joins Chris Hutchins to examine the hidden infrastructure beneath trustworthy AI. The conversation covers data quality, lineage, subject-matter expertise, monitoring, workforce trust, and the human verification required when agentic systems change over time.
Topics covered
- Why poor data becomes “garbage squared” in AI systems
- How early subject-matter expertise prevents late failure
- Why monitoring agentic AI is continuous work
- How human verification turns governance into operational trust
Featured guest
Amit Shivpuja
Director of Data & AI Enablement at Walmart
Enterprise data and AI leader building governance, lineage, and enablement systems for responsible scale.
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