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Explore the fundamental challenges and solutions for orchestrating agentic AI systems in this 35-minute conference talk from MLOps World. Discover why traditional orchestration methods fall short when dealing with autonomous AI agents and learn about the new paradigms required to effectively manage these complex systems. Examine the unique characteristics of agentic AI that demand different approaches to workflow management, including their autonomous decision-making capabilities, dynamic behavior patterns, and unpredictable execution paths. Understand the technical requirements for building robust orchestration frameworks that can handle the non-deterministic nature of AI agents while maintaining reliability and observability. Gain insights into practical implementation strategies, architectural considerations, and best practices for deploying agentic AI systems in production environments, with real-world examples demonstrating how modern orchestration tools must evolve to support the next generation of intelligent automation.
