Event

Intelligent AI Agents with Databricks: Build, Deploy & Monitor with Confidence

Written by Terry McCann | Nov 12, 2025 1:39:16 PM
As AI systems evolve, the focus is shifting from predictive models to intelligent agents - AI that can reason, act, and adapt across complex workflows. For technical teams, this means mastering multi-step reasoning, tool integration, and scalable deployment.
 
In this episode, we’ll introduce the Databricks Agent Framework and Agent Bricks, designed to help you rapidly prototype, deploy, and monitor intelligent agents in production. You’ll learn how leading organisations are using agents to automate decision-making, streamline operations, and accelerate innovation.
 
Whether you're building your first agent or scaling across teams, this session will equip you with the tools and strategies to do it right.

What You’ll Learn

  • Databricks Agent Framework & Agent Bricks: Learn how to build intelligent agents using modular, scalable components.
  • Enterprise Use Cases for AI Agents: See how agents are transforming workflows in finance, operations, customer service, and more.
  • Build, Deploy & Monitor Agents in Databricks: Discover best practices for productionising agents with observability and control.
  • Accelerators & Tooling for Rapid Development: Explore the Agent Framework Accelerator and other resources to speed up delivery.

    Why Attend?

    • Understand how to move beyond basic AI models to intelligent agent systems
    • Learn how Databricks supports scalable agent deployment and monitoring
    • Access exclusive tooling to accelerate your agent development lifecycle

Speakers

 

Dr Gavi Regunath,
Chief AI Officer

Gavi is a hands-on AI leader and recognised Databricks MVP, specialising in designing and delivering GenAI and ML solutions on Databricks. Gavi works directly with technical decision-makers to turn prototypes into operational services the business can trust.

Tori Tompkins,
Principal AI Consultant

Tori is a hands-on AI consultant specialising in production deployment on Databricks. Working directly with data science teams to evaluate platform options and build AI systems that move from prototype to reliable business service.

 

 

 
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