Not long ago, many executive conversations focused on whether AI was viable at all. Today, the more pressing question is who owns scaling it — and how.

In this episode of The Generative Edge, Donovan Spronk is joined by Alison Kay, Vice President & Managing Director for AWS UK & Ireland, for a conversation about what leaders are actually facing as AI moves from experimentation into the core of the enterprise.

Drawing on her work with organizations across industries, Alison shares a clear-eyed view of where AI initiatives tend to stall, why incremental efficiency gains rarely deliver lasting value, and what distinguishes leaders who successfully scale AI across their businesses. The discussion explores why AI has become a CEO-level agenda, why leadership — not technology — is often the limiting factor, and how working backwards from the customer helps organizations reimagine processes end to end.

Recorded live at AWS re:Invent, this episode reflects a moment where many leaders are recognizing that the next phase of AI transformation is less about tools and more about ownership, courage, and how leadership teams show up.

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"Set it and forget it" may have worked for traditional IT — but it breaks down in the age of GenAI.

In this episode of The Generative Edge, Donovan is joined by Natali Delić, Chief Strategy and Digital Officer at Telekom Srbija, to explore why GenAI and Agentic AI require organizations to fundamentally rethink how they design, run, and evolve their processes.

Natali challenges the assumption that AI's primary value lies in automating what already exists. Instead, she argues that real impact comes from reinventing processes end to end, supported by strong data foundations, continuous governance, and sustained leadership engagement. We discuss why AI behaves less like a static system and more like a living one — and what that shift means for operating models, middle management, and long-term value creation.

A practical, executive-level conversation for leaders looking to move beyond AI hype and toward responsible, sustainable transformation.

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Before AI can transform your business, you have to trust your data—and your people have to trust the AI.

Live from AWS Cloud Day in Prague, Ataccama CTO Martin Zahumensky joins Donovan Spronk (DT CE) and Vyasaraj Kulkarni (AWS EMEA) to unpack how data quality, Agentic AI, and engineering culture are colliding to reshape the future of enterprise AI.

From wrangling unstructured data to training AI agents that can choose the right datasets themselves, Martin shares how Ataccama helps global companies move from AI experiments to AI at scale.

We explore:

• Why data trust is the true foundation of AI success

• How Ataccama is making 85% of unstructured enterprise data usable

• What happens when leaders use AI to build solutions—no coding required

• How generative AI is transforming engineering culture and leadership

If you care about data, innovation, or the future of work—this episode will change how you think about all three.

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