Decoding Agentic AI: How Autonomous AI Workers Are Changing Enterprise Tech

AI is moving beyond systems that simply answer questions. Modern AI agents can be designed to retrieve information, use approved tools, interact with business systems, and coordinate multiple steps toward a defined goal.

This session makes agentic AI understandable for both technical and nontechnical participants. It introduces large language models, AI agents, tools, knowledge sources, orchestration, connected systems, and multi-agent architectures.

Real-world enterprise scenarios will show where organizations may use agents while also highlighting the importance of security, governance, permissions, monitoring, and human oversight.

What participants will explore: generative AI versus agentic AI; anatomy of an AI agent; LLMs and enterprise data; tools and system integrations; single-agent and multi-agent approaches; workflow automation; security and governance; and practical enterprise use cases.

Focus Area: AI Technical Architecture

Recommended Presenters: Enterprise AI Architect + Cloud/Data Platform Lead