Why Many Companies still aren’t Ready for AI Adoption
- Part 1 Why Many Companies still aren’t Ready for AI Adoption
- Part 2The biggest misconception executives have about AI readiness
- Part 3What worries you most about AI adoption right now?
- Part 4The one thing companies should focus on over the next 12 months
- Part 1 Why Many Companies still aren’t Ready for AI Adoption
- Part 2The biggest misconception executives have about AI readiness
- Part 3What worries you most about AI adoption right now?
- Part 4The one thing companies should focus on over the next 12 months
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Part 1Why Many Companies still aren’t Ready for AI Adoption
Most AI initiatives stall in experimentation mode. Dr. Fern Halper, VP and Senior Research Director for Advanced Analytics at TDWI and founder of the AI Foundations Group, explains why organizations struggle to convert AI pilots into measurable business value. The conversation covers the foundational systems required to operationalize AI beyond experimentation, the organizational readiness gaps that undermine adoption, and how to prioritize a single high-impact focus over the next 12 months to move from testing to results.
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Part 2The biggest misconception executives have about AI readiness
Most companies mistake buying AI tools for AI readiness. Dr. Fern Halper, VP and Senior Research Director for Advanced Analytics at TDWI and founder of the AI Foundations Group, explains why AI adoption fails at scale without the right systematic foundations. The conversation covers the organizational systems missing from most AI initiatives, the distinction between deploying tools and building AI as a repeatable capability, and why original thought grows more valuable as AI-generated content saturates the market.
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Part 3What worries you most about AI adoption right now?
Most enterprises remain stuck in AI experimentation mode. Dr. Fern Halper, VP and Senior Research Director for Advanced Analytics at TDWI and founder of the AI Foundations Group, explains why companies still aren't ready for scaled AI adoption. She outlines the foundational data and governance systems required to move beyond isolated pilots, the shift from experimentation to operational value, and a 12-month prioritization framework for turning AI experiments into measurable business impact.
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Part 4The one thing companies should focus on over the next 12 months
Most AI initiatives stall in experimentation mode. Dr. Fern Halper, VP and Senior Research Director for Advanced Analytics at TDWI and founder of the AI Foundations Group, explains why companies remain unprepared for meaningful AI adoption. The conversation examines the foundational systems required to move beyond isolated experiments, the difference between testing for failure and building for scale, and how to convert AI pilots into measurable business value over the next 12 months.
Play Podcast





