AI Adoption: The Data Readiness Problem Holding Enterprises Back

AI ambition is everywhere. The models are ready, the investment is flowing, yet the outcomes aren’t keeping up. 

Cloudera’s Data Readiness Index 2026  survey identifies a widening gap between what enterprises want from AI and what they can actually deliver. In this episode of The AI Forecast, Paul Muller sits down with Cloudera CTO Sergio Gago to bring a practitioner’s lens to the problem, drawing on experience across the full spectrum from startups to global enterprises. 

Together, they unpack the survey to find out what’s really holding enterprise AI back:

Why enterprise AI adoption stalls between pilot and production
How fragmented data ecosystems limit AI effectiveness
How data accessibility limits AI impact
The growing importance of data quality and trust
The critical role of governance in enabling AI at scale
The shift from “hybrid by accident” to hybrid by design in modern architectures
How data readiness determines whether AI delivers real ROI

As coding becomes faster and cheaper through AI, the bottleneck is moving upstream to trustworthy, well-governed data. For technology leaders, AI success depends on building the right data foundation.

Stay in touch with Sergio:
Sergio Gago on LinkedIn: https://www.linkedin.com/in/sergiogh 

Sergio’s Quantum Pirates Newsletter: https://quantumpirates.substack.com/ 

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