What It Really Takes to Scale Generative AI
Notas do episódio
With Viji Krishnamurthy — VP & Head of AI and Generative AI at Oracle
Why do some organisations turn Generative AI into real business value while others struggle to move beyond experimentation?
In this episode, Ben Parker speaks with Viji Krishnamurthy about what it really takes to implement and scale Generative AI inside the enterprise.
Drawing on more than two decades across research, startups, Samsung and Oracle, Viji explores the technical, cultural and organisational challenges that emerge as companies move GenAI into production.
The conversation examines how organisations can demonstrate real business value, manage risks such as hallucinations and bias, build trust in AI systems, and prepare for a future where people increasingly work alongside AI agents.
You’ll hear practical insights on:
- Why Generative AI initiatives struggle to scale
- Where GenAI is creating real business value
- Moving from experimentation into production
- Managing hallucinations, bias and trust
- The cultural changes required for successful AI adoption
- How the role of Data and AI professionals is evolving
- Why AI agents could change how we work
- What enterprise AI could look like over the next 3–5 years
Chapters
00:00 The emerging world of AI agents
02:08 Viji's career and leadership journey
07:41 From scientist to product leader
18:19 How Data & AI roles are evolving
27:43 Staying ahead as AI changes
41:08 Why Generative AI is difficult to scale
44:08 Where GenAI is delivering business value
48:52 Managing hallucinations, bias and trust
52:09 The organisational shift required for GenAI
57:05 AI agents and the future of work
Thank you for listening!