Emerging Patterns in Agentic AI

Originally aired:

About the Session

This talk explores the rapidly evolving landscape of Agentic AI systems, beginning with fundamental definitions that distinguish agents from other AI paradigms. We'll examine the diverse continuum of real-world AI agents, highlighting how they vary in autonomy, capabilities, and application domains.

We will analyze critical enabling technologies, including the Model Context Protocol that facilitates sophisticated agent-environment interactions. We'll delve into action spaces—with special attention to code generation as a particularly powerful action domain—and explore how tool integration is creating unprecedented ecosystem opportunities.

Memory plays a crucial role in context management and agent learning. We will explore different memory architectures, from short-term recall mechanisms to long-term persistence strategies, showcasing how they enable truly agentic behavior.

The session concludes with a forward-looking perspective on the future of AI agents, including emerging model architectures designed specifically for agent-based applications. By mapping these emerging patterns, attendees will gain both a conceptual framework for understanding the current state of Agentic AI and insights into future advancements.

Key Takeaways

  • Understanding Agentic AI – What sets AI agents apart from traditional LLM-based automation.
  • Model Context Protocol – How context-aware AI agents interact with their environment.
  • Memory Architectures in AI Agents – From context management to long-term learning.
  • Action Spaces & Code Generation – The role of tool integration in expanding AI capabilities.
  • Future Trends in Agentic AI – The shift towards purpose-built AI architectures for agent-based systems.

Target Audience

  • AI & ML Researchers exploring autonomous agent architectures.
  •  Software Engineers & Developers interested in building AI-driven automation.
  • Enterprise AI & Innovation Leaders evaluating the impact of AI agents on business applications.
  • Product & Strategy Teams integrating Agentic AI into real-world software ecosystems.

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