Trust, Data & AI: Closing the Gap

60% of enterprise AI projects are being abandoned, not because the models are broken, but because business users can’t trust the outputs.

“Gartner is projecting $450 billion in AI. But the real organizations that are going to excel with that spend are the ones that have the right trust SLAs.”

Tara Myshrall – AI Transformation and Growth Leader

In this episode of Data Enablers, Tara Myshrall sits down with Bharat Phadke, CEO of Edgematics Group, and Mark Peco, Analytics Consultant and Educator, to unpack why AI Is Surfacing The Trust Gaps That Were Always There, And What It Actually Takes To Close Them.

You’ll hear

How dysfunctional data units, misaligned governance, and the absence of a clear value registry are driving abandonment across enterprises.
How AI agents are now being given contracts that define what's allowed, what's automated, and what's auditable, and why that is the new frontier of data governance.
Why the role of a Chief Trust Officer is emerging, someone who sits between the technical and the business to bring the truth together for the entire organisation.
What concrete trust metrics, trust SLAs, and right-to-left data strategies look like when a CFO gives you 90 days and an unlimited budget to fix them.

Episode Insight

Trust Is No Longer A Data Quality Problem. It Is An Organisational Architecture Problem - One That Spans Your CFO, CIO, Chief Data Officer, And Every Developer Writing Pipelines In Between.

The real shift is from treating data governance as a compliance function to treating it as the truth engine of the business. With Gartner projecting that successful AI organisations invest four times more in data quality and governance, the organisations that will win aren't moving fastest, they're building the right trust guardrails, orchestration frameworks, and AI-ready teams first.