Organisations today have no shortage of AI ideas. What they lack is the ability to turn those ideas into production-ready systems that deliver real business value.

For data scientists trying to get AI projects off the ground, understanding why that gap exists is as important as the technical work itself.

In this episode, Santosh Kaveti joins Dr Genevieve Hayes to share what organisations consistently get wrong when embarking on AI initiatives, and what data scientists can do to help get it right.

In this episode, you'll discover:

1. Why organisations with great AI ideas still fail to deploy them [02:16]
2. What history tells us about where the current AI wave is heading [09:48]
3. The real cost of bolting AI onto systems that weren't designed for it [13:42]
4. How to forge the cross-functional partnerships that get AI projects off the ground [22:21]

Guest Bio

Santosh Kaveti is the CEO and Founder of ProArch, a technology consultancy that helps enterprises operationalise AI securely and at scale. His expertise spans critical infrastructure industries, including power generation, manufacturing and healthcare, where he has seen firsthand how AI can drive business transformation in complex regulatory environments.

Links

• Connect with Santosh on LinkedIn
• ProArch website
• Connect with Genevieve on LinkedIn
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