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technologyAug 5, 202621:54pending

Why Most Enterprise AI Projects Never Make It to Scale

About this episode

Natalia Konstantinova, Lead Enterprise Architect in AI at Natwest, shares why most enterprise AI projects don't fail because of the technology, they fail because organizations skip the foundations. She also explains how responsible AI and scalable AI have converged, and why you can't achieve one without the other.

Key Takeaways:

  • Why most enterprise AI projects stall before scale

  • What software engineers consistently get wrong about AI reliability

  • Why governance actually accelerates delivery

  • How to make AI transformational rather than just another digital tool

Guest Bio:

Dr Natalia Konstantinova is Lead Enterprise Architect for AI at NatWest Group, where she leads the strategic adoption of AI across the enterprise. With a PhD in Information and Language Processing and a background spanning academia, industry, and innovation, she specialises in AI strategy, enterprise architecture, governance, and responsible AI. Natalia is passionate about helping organisations translate complex AI technologies into scalable business value, and is a recognised voice on the future of AI in highly regulated industries.

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About this Show:

The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all!

Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together.

The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API.

Music by: Ari Dvorin

Produced by: Sam Laliberte

 

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Why Most Enterprise AI Projects Never Make It to Scale

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