Building Intelligent Data Solutions with Microsoft Fabric and Microsoft Foundry

Regular 50 minute session for SQLBits 2026

TL; DR

See how Microsoft Fabric and Microsoft Foundry bring AI directly into your data platform.Using invoice data, we’ll demonstrate document understanding, semantic search, and natural-language queries with a Fabric Data Agent.

Session Details

This demo-driven session shows how AI can be embedded directly into a modern data platform using Microsoft Fabric and Microsoft Foundry.

We will demonstrate:
* Microsoft Foundry – providing the AI models to read, extract, classify, and semantically understand invoice documents
* Microsoft Fabric – storing, transforming, and governing invoice data in OneLake using Lakehouse, pipelines, and notebooks
* Fabric Data Agent – enabling natural-language questions over trusted invoice data
* Semantic search – allowing users to instantly find invoices, overdue payments, and cash-flow risks

The session focuses on practical, end-to-end demos, showing how these services work together to deliver intelligent insights without complex custom solutions.

3 things you'll get out of this session

- Understand how Microsoft Fabric and Microsoft Foundry work together to embed AI into a data platform
- See how AI can automatically process invoices and enable semantic search and natural-language queries
- Learn how a Fabric Data Agent can help users get trusted answers from data without writing SQL

Alpa Buddhabhatti's other proposed sessions for 2026

AI Strategy That Works: Turning Ambition into Business Impact - 2026

Build and Use AI Agents with Microsoft Foundry in 20 Minutes - 2026

Build Intelligent Data & AI Agents with Microsoft Fabric and Foundry - 2026

Build It Right: Real-World Microsoft Fabric Pipelines with Metadata & Medallion Architecture - 2026

Build, Secure, and Deploy AI Agents with Microsoft Foundry – From No-Code to Pro-Code - 2026

Connecting AI and Data: Microsoft Foundry + Microsoft Fabric in Action - 2026

Fabric Data Agents: From First Steps to Real-World Insights - 2026

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