Autonomous AI Agents are emerging as a groundbreaking paradigm in artificial intelligence, redefining how systems execute tasks, reason, and collaborate to solve complex problems. From intelligent assistants to research copilots and automation pipelines, AI Agents are not just theoretical—they are driving real-world innovation across industries.

This session will explore the architecture of AI Agents, the key components that make them intelligent and autonomous, and how they are orchestrated using modern frameworks such as CrewAI, LangGraph, and Autogen. The presentation will culminate with a live Proof of Concept (PoC) showcasing AI Agents solving a real-world business or research problem.

Participants will be able to:

• Understand what AI Agents are and how they differ from traditional AI systems.

• Explore the core components of agent architecture: memory, planning, tool use, communication, and environment.

• Get introduced to the leading frameworks enabling rapid development of AI Agents.

• Learn about real-world applications and enterprise use cases of autonomous agents.

• Watch a Proof of Concept that demonstrates the power of a multi-agent system in action.

Whether you are an AI practitioner, a developer, or a tech decision-maker, this talk will provide a foundational and practical perspective on how AI Agents can transform digital workflows and unlock new efficiencies.