Multi-Agent Systems in Action: Building Collaborative AI Teams

Join us for an in-depth exploration of how AI is evolving from isolated agents to collaborative, multi-agent systems that plan, research, and execute together as a team. We begin by tracing the leap beyond single chatbots to understand why multi-agent systems represent the next frontier of AI — deconstructing the key collaboration patterns such as orchestrator–worker, hierarchical workflows, and critique loops that enable specialized agents to divide, coordinate, and conquer complex tasks. You will go under the hood to see how collaborative AI teams actually work in practice, watching agents take on distinct roles — planner, researcher, and executor — as they work through a real business problem end to end. Moving beyond theory, the session concludes with a practical look at real-world use cases across industries, the career opportunities emerging around multi-agent AI, and where this technology is headed next — equipping you with a clear, actionable perspective on how to harness collaborative AI systems in your role and organization today.