How do leaders make better decisions about AI when the technology, risks and expectations are changing so quickly?
In this episode, Ben Parker speaks with Durai Rajamanickam about what it takes to turn AI ambition into something organisations can trust, scale and create value from.
They explore why AI initiatives can go wrong before technology is even the problem, the danger of hype-driven decisions, and why clear business objectives and leadership alignment matter.
The conversation also examines build vs buy, balancing speed with governance, when leaders should trust AI outputs, and the decisions organisations can't afford to delay.
You’ll hear practical insights on:
Why organisations misdiagnose the problems they want AI to solve
How to make better build-vs-buy decisions
Why promising AI initiatives fail
Balancing speed, innovation, governance and trust
When leaders should trust or challenge AI outputs
The AI decisions organisations need to make now
Chapters
00:00 Why AI strategies go wrong 01:09 Meet Durai Rajamanickam 03:46 Build vs buy in AI 05:36 Avoiding hype-driven AI decisions 07:41 Aligning AI with the business 09:11 Building trust and governance 12:22 Balancing speed with control 15:22 Making better decisions with AI 21:03 Advice for AI leaders
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