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Data Governance & Quality

64% of companies are launching advanced AI projects but

64% of companies are launching advanced AI projects but....

ONLY 7% actually have the data foundation needed to scale them.

A brand-new Accenture report reveals this striking gap.

Imagine that!

Most companies are rushing to adopt AI, but there’s a massive roadblock hiding in plain sight: Data Readiness.

If your internal customer domains are fragmented, your automation will simply fragment your customer experience.

If your product hierarchies are inconsistent, your systems will confuse what you actually sell.

If your metadata layer is weak, your systems will continuously struggle to extract operational meaning.

If your lineage tracking is entirely missing, your system will be completely incapable of explaining its source logic.

The enterprises that will dominate the next decade are not those blindly chasing the vanity metrics of raw technological processing power.

They are the ones building the quiet, compounding wealth of a highly trusted, fully governed corporate data foundation.

Data governance is no longer just about compliance and restriction—it is now the ultimate launchpad for AI innovation.

Read Accenture's report -

First shared on LinkedIn.

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Go deeper: AI Audit Checklist: What Auditors Will Ask For | NIST AI RMF Explained: Govern, Map, Measure, Manage

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Weekly thinking on data and AI governance from Ash Srivastava.