The AI Hiding in your Data

Proposed session for SQLBits 2026

TL; DR

In this session, learn the engineering best practices used by development teams whose databases aren't a pain in the neck. This session is a collection of patterns recently curated from many of Microsoft's largest and most demanding customers.

Session Details

The I in AI stands for intelligence, and intelligence starts with knowledge grounded in data. Your data is already there, waiting to shape the models that can change your business. Now imagine that data cleaned, enriched, and paired with the AI features already built into your database. Imagine exposing specialized models through MCP endpoints. That’s how you stop chasing the wave and start riding it, rewriting the future of your business as the world economy moves forward.

3 things you'll get out of this session

Walking through modern AI strategies using the data and tools we already have.

Jerry Nixon's other proposed sessions for 2026

Introducing the SQL MCP Server - 2026

Modern Architecture 101 for New Engineers & Forgetful Architects - 2026

Jerry Nixon's previous sessions

Workflows of Highly Functional App & Data Engineering Teams

Explore best practices in enterprise data engineering, focusing on Schema Management, Standards Enforcement, Database Testing, & Automated Deployment. Navigate Microsoft's complex options to achieve change management, observability, & quality at scale. Goals: Master schema control, ensure engineering quality, & streamline delivery through automation.

A Deep Dive into DevOps Practices with Azure SQL

Explore the intricacies of DevOps practices tailored for Azure SQL in this demo-heavy session, highlighting both the inner and outer development loops. Embark on a journey through the essential principles of Database version control, Immutable Database Infrastructure, Schema Management, Testing, and Seamless CI/CD. Bid farewell to the notorious "But it worked on my computer!" dilemma by embracing robust DevOps practices, fostering trust and efficiency across your development cycles—from local environments to the expansive cloud. Navigate the array of Azure SQL tools for DevOps practices with potent command-line tools, and uncover seamless integration with industry-leading third-party tools such as GitHub Actions, Codespaces, Terraform, and extensions for popular IDEs like VS Code and Azure Data Studio.

A Deep Dive into Microsoft Fabric Data Warehouse

Deep Dive into Data Warehousing in Microsoft Fabric. Explore the intricacies of Microsoft Fabric Data Warehouse, unraveling its capabilities and demonstrating effective strategies for its utilization.