The Hidden Infrastructure of Trust
with Amit Shivpuja
Amit Shivpuja, Director of Data and AI Enablement at Walmart, exposes the systems and practices that operate beneath the surface of every trustworthy AI deployment. The conversation covers data governance architecture, data lineage, and the often-invisible infrastructure that determines whether stak...
Amit Shivpuja, Director of Data and AI Enablement at Walmart, exposes the systems and practices that operate beneath the surface of every trustworthy AI deployment. The conversation covers data governance architecture, data lineage, and the often-invisible infrastructure that determines whether stakeholders can actually trust what AI systems produce.
Trust in AI systems is not built through marketing or executive proclamations; it is built through governance infrastructure that most stakeholders never see. Data lineage is the foundation of accountability in any AI system — when stakeholders cannot trace where data came from and how it was transformed, they cannot assess whether AI recommendations are trustworthy.
Topics covered: data governance architecture, data lineage and accountability, trust infrastructure for AI systems, enterprise data strategy, and why organizations that skip unglamorous governance work build systems that appear sophisticated while remaining fundamentally unreliable.