Lessons Learned From Building Databricks Assistant

Add to Calendar Apr 17, 2025 Apr 17, 2025 America/Los_Angeles Lessons Learned From Building Databricks Assistant Databricks Assistant is a compound AI agent tailored to Data Scientists, Data Engineers, and SQL Analysts. In this session, I'll explore some of the lessons we learned from building the Assistant along with tips for applying AI to enterprise data. Come learn about UX best practices, Text-to-SQL, fine-tuned code models, and how best to evaluate quality. Main Stage | Gateway Pavilion - Pier 2 | 2 Marina Blvd, San Francisco, CA 94123

About this session

Databricks Assistant is a compound AI agent tailored to Data Scientists, Data Engineers, and SQL Analysts. In this session, I'll explore some of the lessons we learned from building the Assistant along with tips for applying AI to enterprise data. Come learn about UX best practices, Text-to-SQL, fine-tuned code models, and how best to evaluate quality.

Session Speaker

Weston Hutchins

Head of Product - Applied AI and Developer Experience

Databricks

Access Prerequesites

Access Slides

More sessions

Developer Day

Apr 17, 2025

3:30 pm

Harnessing AI Context for Superior Code Quality

Discover how agentic workflows can revolutionize software development with Qodo AI-powered tools. Learn to utilize context-awareness and automated review workflows to ensure impeccable code integrity. This session will explore real-world applications, focusing on best practice integration and AI-driven insights to optimize your development process.

David Parry

Qodo



More Information

Developer Day

Apr 17, 2025

12:40 pm

The Full Stack of Open Generative Ai

Join an AI expert from Meta for an in depth look at the latest advancements in the open generative AI stack. This session will cover from the metal to the agent how large scale AI systems are built, the tools used and how you can build your own with open source AI from Meta including PyTorch, Triton, Llama and more.

Joe Spisak

Ensuring Responsible AI with Advanced Model Evaluation

This session will cover Sama's comprehensive Model Evaluation services, emphasizing the importance of aligning AI systems with ethical guidelines and improving their performance. Attendees will learn how to systematically assess AI outputs, identify inaccuracies and vulnerabilities, and employ strategies for accelerated time-to-market with robust model validation. Leveraging Sama's expert-driven platform, participants will discover how to build reliable, high-performing generative AI models while adhering to industry standards.

Duncan Curtis

Sama

