Nagaraj Sengodan

Discover the core architectures and design patterns behind agentic AI systems that can reason, plan, and act autonomously in real world scenarios

This session introduces a concrete, hierarchical multi-agent architecture where high level Orchestrator agents manage complex business workflows by delegating entire sub processes to specialized agents. You’ll see how these agents collaborate and communicate using the Agent-to-Agent (A2A) protocol.

How to deliver intelligent, data-driven application features on top of enterprise data platforms while working within real regulatory and operational constraints.

Practical lessons on connecting SQL-based data platforms and analytics systems to modern application workloads.

we will delve into the key components of Microsoft Fabric and showcase how it revolutionizes data storage and management. We will discuss the concept of Lakehouses and highlight their importance in bringing together data processing and analytics to gain valuable insights that Microsoft Fabric opens up

Dive into building your first AI agent with LangChain, where you'll learn to create, run, and optimize AI agents for diverse database scenarios. The session covers CSV and SQL database agents, demonstrating how to read data, customize responses, and enhance user interaction

This session empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up to date information retrieval and structured knowledge,