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Architecting Scalable Multi-Agent Workflows - From Coordination to Orchestration

Data Science Dojo via YouTube

Overview

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Explore the complexities of building scalable multi-agent AI systems in this 47-minute conference panel featuring industry experts João (Joe) Moura, Gabriela de Queiroz, Taimur Rashid, and Ali Arsanjani, PhD from the Agentic AI Conference. Discover how AI is evolving beyond single-agent systems to embrace collaborative multi-agent workflows that enable seamless coordination and decision-making across multiple intelligent agents. Learn practical strategies for orchestrating agents to tackle enterprise-scale problems while addressing critical real-world challenges including reliability, efficiency, and governance when deploying these sophisticated systems at scale. Gain insights into the transition from basic coordination to advanced orchestration techniques that make multi-agent systems viable for complex business applications and understand the key considerations for implementing these technologies responsibly in enterprise environments.

Syllabus

Panel 2: Architecting Scalable Multi-Agent Workflows

Taught by

Data Science Dojo

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