Cutting Through the Buzz: Making Sense of AI Agents
Proposed session for SQLBits 2026TL; DR
Hype-free intro to AI Agents! Learn how LLMs, RAG, and AI Agents work, and see a knowledge-agent demo, plus Databricks hands-on examples for practical enterprise use.
Session Details
Join us for a hype-free introduction to AI Agents! In this session, we’ll cut through the buzzwords and make sense of the concepts driving today’s GenAI landscape, including LLMs, RAG, and Agentic AI. We’ll break down what these technologies actually are, how they work behind the scenes, and where they can be used effectively.
A major focus of this session will be AI Agents, including a examples of a knowledge-agent system that shows how agents can automate reasoning, orchestrate complex workflows, and interact with enterprise data. You’ll also see hands-on examples in Databricks, illustrating how modern GenAI tools can be embedded into real business scenarios.
Whether you're new to AI or looking to deepen your understanding, this session will give you clear explanations, practical demos, and a grounded view of how agent-based systems can transform your projects.
A major focus of this session will be AI Agents, including a examples of a knowledge-agent system that shows how agents can automate reasoning, orchestrate complex workflows, and interact with enterprise data. You’ll also see hands-on examples in Databricks, illustrating how modern GenAI tools can be embedded into real business scenarios.
Whether you're new to AI or looking to deepen your understanding, this session will give you clear explanations, practical demos, and a grounded view of how agent-based systems can transform your projects.
3 things you'll get out of this session
Clearly understand LLMs, RAG, and AI Agents.
Learn how AI Agents work and reason with real examples.
Apply GenAI tools to real business scenarios using Databricks.
Speakers
Doug Leal's other proposed sessions for 2026
Cutting Through the Buzz: LLM, RAG, and GPT - Making Sense of GenAI - 2026
Fast-Tracking Models with Databricks AutoML - 2026
Getting Started with Azure Databricks: Data Engineering - 2026
How to get started with MLOps in Azure Databricks - 2026
MLOps and LLMOps: Best Practices in Databricks - 2026
Stop Presenting, Start Storytelling and Connecting Your Way to Success! - 2026