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

In this episode of Data Analytics Chat, Ben speaks 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!

In this episode of Data Analytics Chat, we welcome Sujit Narapareddy, Head of Data and Analytics at AWS Sales. Sujit shares his insights on AI transformation in large enterprises, likening it to the shift from paper maps to GPS.

We discuss the critical role of human judgment in the age of AI, how organisations can effectively integrate AI into their workflows, and the importance of building a strong data foundation. Sujit shares his personal journey from a technical role to a leadership position, highlighting the importance of business intuition and continuous learning.

The conversation covers how AI will change organisations by embedding insights into workflows and reducing the friction between knowing and acting.

00:00 Introduction to AI Transformation
01:42 Guest Introduction: Sujit Nara Par
02:08 Exploring AI's Impact on Organizations
02:32 Sujit's Career Journey and Leadership Insights
09:21 The Role of AI in Enhancing Human Roles
16:17 Challenges and Strategies for AI Integration
28:28 Preparing for the Future of AI
30:02 Conclusion and Final Thoughts

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In this episode of Data Analytics Chat, we welcome Carlos Pineda, the Head of Data Analytics and Insight at Diageo North America. Carlos shares his extensive experience in data analytics across Latin America, Asia-Pacific, Eastern Europe, and North America.

They discuss the growing role of AI in both personal and corporate life, the importance of a strong data foundation, and the critical need to understand business processes and foster strong relationships. Carlos emphasises the importance of targeted AI use cases, end-to-end transformation, and continuous delivery in AI implementation.

The conversation delves into effective leadership strategies, experimentation, and the value of consistent stakeholder engagement to integrate AI into business operations successfully. Key topics include data readiness, the role of generative AI, and the overall impact of AI-driven business transformations.

00:00 Introduction to AI in Daily Life
01:15 Welcome to Data Analytics Chat
01:53 Meet Carlos Pineda
02:51 Career Decisions and Growth
05:30 Leadership Challenges and Lessons
08:02 The Reality of AI in Business
09:58 The Importance of Business Acumen
13:13 Challenges in AI Implementation
30:38 The Cost and Value of AI
33:39 Final Thoughts and Farewell

Thank you for listening!