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Explore the fundamental shift from traditional transaction-based software to conversation-driven agentic AI systems in this 44-minute conference talk. Discover what makes AI systems "agentic" and understand the essential components required to build adaptive systems capable of reasoning over time. Learn about the three critical technology stacks—training, inference, and runtime—that power these intelligent systems. Dive deep into the core elements of agentic runtime architecture, including durable execution, memory management, agent lifecycle orchestration, and tool integration. Examine the open-source ecosystem supporting agentic AI development, with detailed coverage of popular projects like vLLM, LangGraph, and AutoGen, and understand how each component fits within the broader agentic technology stack.
