The iMasons Innovation Podcast Thought Leadership # 20 Agentic AI in the Data Center Sector
Jun 17, 2025
Venessa Moffat, an Executive Board Member at the Data Centre Alliance with over 20 years in the sector, shares her insights on the integration of AI in data centers. She discusses the evolution from traditional systems to AI-driven management, enhancing operational efficiency while balancing automation and human oversight. Venessa addresses challenges like security and trust in AI, while also debunking misconceptions surrounding agentic AI, encouraging professionals to harness its potential for improved productivity and innovation in data management.
AI Snips
Chapters
Transcript
Episode notes
Agents Collaborate for Optimization
- Agents can collaborate, each managing specific subsystems and reporting data to a supervisory agent.
- This agent network can analyze data collectively and automate human tasks for efficiency.
AI Extends Human Capability
- AI agents enhance human operator productivity through supervised workflows and alerts.
- Automation is gradual with human-in-the-loop control essential for risk management.
Federated AI Models Reduce Risks
- Data centers will rely on smaller, federated language models trained only on internal data.
- This approach limits risk and improves decision relevance across sites.