The Future of AI Agents: From Theory to Production

The Future of AI Agents: From Theory to Production

Real-world insights from the engineers building autonomous AI systems at scale

Data - Thursday, 21st August 2025 | 6:00 PM

Venue - Bayes Centre, University of Edinburgh

Hosted by The Data Lab | In partnership with tomoro.ai & MBN Solutions

Shannon McKechnie, Managing Director at MBN will be the chair.

Why Attend?

Learn directly from engineers who are building and deploying AI agent systems in production at enterprise scale. Get practical insights from real-world implementations and the lessons learned along the way.

Programme

6:00 PM - Doors Open

Pizza, drinks & networking

6:30 PM - Welcome & Introduction

Heather Thomson CEO @ The Data Lab & tomoro.ai team

6:40 PM - Build in Public

Emma Rattray | *Google DeepMind Scholar, Ex-JPMC Software Engineer

How sharing your messy, documented build process can transform your network, learning, and career, and why it’s more valuable than perfect code.

6:55 PM - From Words to Worlds: Why the Future of AI Has a Body

Sabrina Chesurin | Member of Technical Staff, tomoro

Move beyond chatbots. Explore embodied AI where models see, act, and interact with the physical world through robotics and NVIDIA-powered simulations.

7:15 PM - Networking Break

7:25 PM - A million ways to auth: Model Context Protocol in production

Lloyd Hamilton PhD | Member of Technical Staff at Tomoro.ai specialising in building production systems for agentic workflows.

The model context protocol (MCP) has taken the AI community by storm since its release in Nov 2024. This talk will centre around the evolution of MCP over the last couple of months and ways of working with MCP in production systems. We will look at some of the ways we can implement authentication for secure tool calling by AI agents.

7:45 PM - Measuring What Matters: Evaluating Multi-Agent Systems*

Rishabh Sagar | CTO, tomoro

Practical strategies for evaluating agent performance beyond isolated benchmarks. Learn how to measure coordination, task completion, robustness, and adaptation in dynamic environments at enterprise scale.

8:05 PM - Closing Remarks

8:15 PM - Pub Social

Continue the conversation at a nearby pub

What You’ll Learn

Production-ready agent architectures from real enterprise deployments.

Embodied AI fundamentals and the shift from text to physical intelligence Multi-agent evaluation frameworks that actually work at scale

MCP middleware patterns for robust agent communication

Career acceleration strategies through building in public

Who Should Attend

Engineers building or exploring AI agent systemsTechnical leaders evaluating autonomous AI for their organisationsResearchers interested in production applicationsAnyone curious about the real state of AI agents beyond the hype

*Join us for an evening of technical deep dives into production AI agent systems, featuring insights from engineers working on real enterprise deployments.*