What It Really Takes to Adopt Generative AI at Scale

Most organisations are experimenting with generative AI. Very few are turning it into a real business impact.

In this episode of Data Analytics Chat, we speak with Nayan Paul, Managing Director and Chief Architect for Generative AI at Accenture, about what it really takes to move from pilots to production.

They explore why GenAI adoption is fundamentally a leadership and operating-model challenge, not just a technology challenge, covering business ownership, data readiness, governance, and the balance between speed and responsibility.

This is a practical, honest conversation for leaders who want GenAI to become a real capability inside their organisation, not just another experiment.

00:00 Introduction to Generative AI Challenges
01:08 Guest Introduction: Nayan Paul from Accenture
01:46 Nayan Paul's Role and Responsibilities
05:08 Early Experiments and Lessons Learned
07:02 From Experimentation to Value Creation
10:14 Business Adoption and Technology Enablement
16:15 Framework for Successful AI Implementation
29:24 Balancing Speed with Responsibility
34:09 Advice for Moving from Curiosity to Impact
38:43 Conclusion and Final Thoughts

Thank you for listening!