Agenda

Building a RoboTaxi platform taught me that traditional AI architectures crumble under the complexity of large-scale multi-agent communication.

In this talk, I'll share hard-won lessons from architecting a distributed AI system where hundreds of autonomous agents coordinate thousands of rides daily. You'll discover why point-to-point agent communication creates a brittle mess, and how event-driven architecture (EDA) becomes the nervous system that keeps everything connected.

Through a live demo of the RoboTaxi platform, I'll show you:

- How AI agents can communicate asynchronously without tight coupling

- The architecture decisions that separate toy demos from production-ready AI systems

Whether you're building chatbot networks, autonomous systems, or multi-agent AI applications, this session will give you the architectural foundation to scale beyond the prototype phase.

Let's take this ride together.

Many others rush into AI adoption without internal coordination or responsible guardrails, which could not only waste time and resources but also pose security risks and destroy clients' trust. The answer to both situations is an ethical and effective AI governance. In this session, let’s talk about practical approaches to govern AI across different industries and settings:

-        Setting priorities, choosing use cases for AI, and building an AI strategy

-        Establishing AI governance and audit, improving privacy, security and compliance with the EU AI Act

-        Learning from success and scaling from silos to impact