Dr. David Marco on AI Governance, Metadata, and Data Quality

 AI doesn’t fail in enterprises because the model is “bad.” It fails when teams can’t trust the data feeding it.

In this feature on The Executive Outlook, Dr. David Marco shares a practical, real-world view of what responsible AI actually needs to scale: metadata management, data governance, and data quality. Not as buzzwords but as the systems that bring clarity to definitions, ownership, lineage, and KPIs.

What stood out for me is how he frames governance as an enabler of speed, not a blocker. When data is documented, owned, and measured, teams stop arguing over numbers and start making decisions with confidence. That’s when AI becomes dependable because the foundation is dependable.

If you’re leading data, analytics, or AI inside an organization, this is a grounded perspective worth bookmarking.

Read more insights here




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