22-25 April 2026

Tori Tompkins

Tori is a Principal AI Consultant at Advancing Analytics and Microsoft AI MVP. Specialising in MLOps and LLMOps, Tori has worked on many ML and data science projects with Azure and Databricks at all stages of the ML Lifecycle. She is a co-presenter of the Data & AI podcast, Totally Skewed, founder of Girls Code Too UK and Trustee of Girls in Data.

Sessions for 2026

AgentBricks vs Mosaic AI
 

Databricks now offers two paths for building enterprise AI agents: AgentBricks and Mosaic AI. Join Tori and Gavi, 2 AI MVPs as they compare these capabilities, architecture, and ideal use cases. We’ll explore how AgentBricks simplifies agent creation with automated evaluation, synthetic data, and low‑code workflows, while Mosaic AI provides the broader infrastructure for model governance, routing, observability, and production‑grade agent systems. Attendees will learn when to use each, how they work together, and how to build scalable agentic applications across the Databricks platform.

No Code Agents with AgentBricks
 

AgentBricks is a new framework for designing, testing, and deploying production-grade AI agents natively on the Databricks Lakehouse. This session introduces the architecture behind AgentBricks and shows how it enables teams to create reliable, auditable, and enterprise-ready agents. We’ll explore how AgentBricks leverages Unity Catalog governance, Lakehouse data pipelines, and Model Serving to orchestrate multi-step agent workflows with full observability.