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AI Readiness Ep 20: Turning AI Hype into Measurable ROI – with Jan Beitner, Director of Data & AI at Inflexion

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Content provided by Daniel Thornton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Thornton or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, Andy Davis sits down with Jan Beitner, Director of Data & AI at Inflexion, to explore how private equity–backed organisations can turn AI ambition into measurable business value.

Jan shares a clear, ROI-driven framework for getting “AI ready” — from linking initiatives to value creation plans and embedding accountability at the top, to avoiding the trap of chasing technology without purpose.

They also discuss why 95% of AI projects fail to deliver ROI, how to identify automation and product-feature use cases that actually pay off, and why culture, process mapping, and change management matter more than tooling.

Whether you’re in data leadership or just starting your AI journey, this episode will help you refocus your strategy around what really counts — value, accountability, and measurable impact.

  continue reading

27 episodes

Artwork
iconShare
 
Manage episode 512622567 series 3593165
Content provided by Daniel Thornton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Thornton or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, Andy Davis sits down with Jan Beitner, Director of Data & AI at Inflexion, to explore how private equity–backed organisations can turn AI ambition into measurable business value.

Jan shares a clear, ROI-driven framework for getting “AI ready” — from linking initiatives to value creation plans and embedding accountability at the top, to avoiding the trap of chasing technology without purpose.

They also discuss why 95% of AI projects fail to deliver ROI, how to identify automation and product-feature use cases that actually pay off, and why culture, process mapping, and change management matter more than tooling.

Whether you’re in data leadership or just starting your AI journey, this episode will help you refocus your strategy around what really counts — value, accountability, and measurable impact.

  continue reading

27 episodes

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