AI Agents: From Hype to Enterprise Value
Notas do episódio
With Ilya Meyzin — SVP, Head of AI Solutions at Dun & Bradstreet
Are AI agents genuinely the next major shift in enterprise AI or are many still sophisticated workflows wrapped around LLMs?
In this episode, Ben Parker speaks with Ilya Meyzin about what AI agents can actually do today and what it takes to turn experimentation into real business value.
Ilya explores how agents differ from traditional AI systems, where the strongest use cases are emerging, and why many promising pilots struggle when organisations attempt to scale them.
The conversation also examines data quality, enterprise architecture, cross-functional collaboration and whether AI agents will become a fundamental part of how organisations operate.
You’ll hear practical insights on:
- What AI agents can do that traditional LLMs cannot
- How to identify genuinely valuable agentic use cases
- Why AI agent pilots struggle to scale
- The difference between orchestration and genuine intelligence
- Why data quality remains critical
- How teams need to collaborate to deploy agents successfully
- Whether agents will become embedded in enterprise architecture
Chapters
00:00 Introduction
01:14 Ilya's career and leadership journey
14:45 Balancing technical expertise with business understanding
23:18 What AI agents actually are
28:40 Where AI agents create real value
32:14 Building and scaling agents in the enterprise
37:21 Why data quality matters
45:12 The future of AI agents
Thank you for listening!