MI.NET - Mou Rakshit - From Tables to Agents with Azure Databricks Agent Bricks

Agenda

• 5:30 - 6:30pm Networking
• 6:30 - 7:30pm Presentation
• 7:30 - 7:45pm Closing

Abstract
AI agents are everywhere - but how do they actually work in a real data platform?

In this session, we’ll go beyond chatbots and build a practical, enterprise-ready multi-agent system using Databricks Agent Bricks. You’ll see how structured data (SQL tables, Delta Lake, Genie Space) and unstructured documents (PDFs, invoices, call logs, reviews) can be orchestrated through a supervisor agent to answer complex business questions.

Using a realistic enterprise demo, we’ll walk through:

• Extracting invoice data from PDFs and images into structured tables
• Grounding answers in product manuals and compliance documents
• Analyzing customer sentiment from call transcripts and reviews
• Routing tasks across specialized agents using a supervisor
• Connecting everything back to SQL analytics and dashboards

This is not theory — this is a working architecture that connects your existing SQL data estate to modern AI workflows.

If you work with SQL, data engineering, or analytics and want to understand how agentic AI fits into the real enterprise stack, this session is for you.

Bio
Mou Rakshit is a Senior Manager of Data, AI & Analytics Engineering at Accenture/Avanade and a Principal Data & AI Solution Architect specializing in building modern, unified, AI-ready data platforms using Microsoft Fabric and Databricks. She leads enterprise-scale data strategy and platform architecture initiatives that enable organizations to move from fragmented analytics environments to governed, high-performance lakehouse ecosystems.

Her work focuses on designing scalable medallion architectures, implementing robust governance models, enabling real-time intelligence, and operationalizing AI and advanced analytics across the enterprise. Mou bridges executive strategy with hands-on technical execution, ensuring that modern data platforms are production-ready, resilient, and aligned to business outcomes.

She holds a Master of Science in Computer Science from Wayne State University and a Master’s in Health Services Administration from the University of Michigan. A Databricks Champion and frequent industry speaker, Mou shares practical frameworks and real-world lessons on architecting unified data foundations that power AI at scale.