A must-watch for CDOs, CIOs, CTOs, and data leaders trying to separate AI hype from what actually works in production.
In this episode of CXO Spotlight Studio, Dr. Mark Brady brings a rare perspective shaped by hands-on work across academia, enterprise data systems, and major U.S. government organizations. He unpacks why most AI projects never reach production, why the talent crisis in data science is deeper than most leaders admit, and why many accepted “best practices” in data are built on shaky foundations.
Why you should watch: If your organization is investing in AI but still struggling with data quality, hiring, use case clarity, or production adoption, this episode will force you to rethink the assumptions underneath your entire strategy.
Dr. Mark Brady explains:
- Why most AI failures begin long before the model, with poor data thinking and unclear objectives
- What separates real data science from what he provocatively calls “data alchemy”
- Why hiring strong data scientists is broken and what skills actually matter most
- How metadata, database design, and data integration shape enterprise AI success
- Why leaders should rethink the typical CDO role and consider both technical and managerial tracks
- What analogical reasoning in LLMs means, and why it matters more than many executives realize
- Why robotics and physical-world experience may drive the next real leap toward AGI
- How military and government AI differ from private sector AI in incentives, speed, and applications
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Chirag Khanijau
