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Data governance and AI governance are the trust infrastructure every scalable healthcare AI depends on — Amit Shivpuja on what responsible data practices actually require.

Data governance is the infrastructure most stakeholders never see and every trustworthy AI deployment depends on. Amit Shivpuja, Director of Data and AI Enablement at Walmart, joins Chris Hutchins to examine the systems, lineage tracking, and architectural decisions that sit beneath every AI output leaders choose to stand behind. Responsible AI is the visible layer; health data governance is where the trust actually lives.

What We Cover

• Why trust in AI is not built through marketing or executive proclamations but through governance infrastructure operating below the surface
• How data lineage becomes the foundation of accountability, if you cannot trace where data came from, you cannot defend the recommendation it produced
• The gap between sophisticated-looking AI systems and the unglamorous governance work that determines whether they are reliable
• What enterprise data strategy looks like when AI governance is engineered in, not added on
• Why organizations that skip data lineage end up with AI products that feel polished and fail unpredictably

Key Takeaways

• AI governance is a construction project, not a communication project. The frameworks that hold up in front of regulators are the ones with traceable lineage underneath.
• Responsible AI fails quietly when data governance is skipped. By the time stakeholders notice, the model has already shaped decisions nobody can unwind.
• The most trustworthy AI systems are boring to describe. Lineage, access controls, audit trails, metadata standards, the work that does not demo well is the work that decides whether the system deserves trust.

Frameworks & Tools Mentioned

• Data lineage architecture for AI accountability
• Enterprise data governance maturity models
• Walmart data and AI enablement practices
• AI audit trail design (inputs, transformations, outputs)
• Metadata standards for cross-system trust

About Amit Shivpuja

Amit Shivpuja is Director of Data and AI Enablement at Walmart, where he builds the governance infrastructure that determines whether large-scale AI systems deserve the trust stakeholders extend to them. His work spans data lineage architecture, enterprise data strategy, and the unglamorous engineering that makes AI outputs defensible.

Related Resources

• Episode: The Enterprise AI Journey: From Data Foundations to Generative and Agentic AI with Gary Cao
• Episode: Healthcare AI Fails Without Complete Medical Records with Aleida Lanza
• Episode: Strengthen your AI Projects in 2026. Privacy and AI Governance Insights with Andre Samokish
• Topic: AI Ethics & Governance
• Article: Data Governance in Healthcare
• Newsletter: AI Health Pulse

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About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified.

Website: https://www.hutchinsdatastrategy.com 

LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/ 

YouTube: https://www.youtube.com/@ChrisHutchinsAi

Book Chris to speak:  https://www.chrisjhutchins.com