As AI systems grow more advanced, many real-world problems now require the collaboration of multiple intelligent agents working together. This webinar explores how multi-agent systems function, why they’re becoming essential, and where they deliver the biggest impact. You’ll learn how multiple AI agents coordinate, communicate, and divide tasks to solve complex challenges that a single model cannot handle alone. Through practical examples and emerging applications, discover how multi-agent architectures are shaping the next generation of automation, decision-making, and intelligent workflows.
Agenda for the session
- Multi-Agent Systems 101
- How Agents Collaborate
- Real-World Applications
- Liven Q&A
About Speakers
Bhaskarjit Sarmah
Head of AI Research, Domyn
Bhaskarjit Sarmah is an accomplished data scientist with extensive experience in multiple domains including Retail, Airlines, Media, Entertainment, and Banking, Financial Services, and Insurance (BFSI). He specializes in developing advanced predictive models for various investment management applications. His expertise spans computer vision, natural language processing, machine learning interpretability, and machine learning uncertainty
