What if the biggest obstacle to AI success isn't the technology? It's the way organizations are structured. At Data Citizens on the Road by Collibra, I sat down with Joyce Snelders Senior Manager at Deloitte on The Ravit Show to discuss what organizations are experiencing as they move from AI experimentation to enterprise-wide adoption.

A few key takeaways from our conversation:

* Data governance has gone from a "nice to have" to a business priority because AI is only as good as the data behind it.

* Many organizations are building AI agents without common standards, creating duplicate efforts and inconsistent outcomes across teams.

* Chief Data Officers are increasingly becoming AI leaders, taking responsibility for both data and AI strategies.

* The next phase of enterprise AI is not just about technology. It is about governance, operating models, and change management.

* Leaders should start preparing for a future where digital FTEs work alongside human employees.

One statement from Joyce stood out:

Organizations don't have an AI problem. They have a governance and operating model problem.

The companies that solve that challenge first will be the ones that scale AI successfully.

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