All speakers

Mou Rakshit

Avanade, Intelligent Data Platform Data Engineering Thought leadership

October 28-30, 2026Oakland University, Rochester, MI

About Mou

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.

https://www.linkedin.com/in/mourakshit/

https://credentials.databricks.com/profile/mourakshit34507/wallet

Conference Sessions

Mou Rakshit headshot
Conference SessionIntermediate60 min

Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights

Conversational BI fails when answers are not trusted. Self-service analytics only works when the data, metrics, and context behind each answer are governed. In "Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights", Mou Rakshit connects Azure Databricks AI/BI Genie to the governance patterns that make self-service insights credible.

Topic
Artificial Intelligence and Machine Learning
Time
Oct 29, 2026, 1:15 PM
Room
Room F
Mou Rakshit headshot
Conference SessionIntermediate60 min

Building an AI-Ready Finance Lakehouse with dbt, Governed Metrics, and Databricks

Finance AI breaks when metrics and pipelines are not trusted. Before finance can safely use AI or agentic workflows, the data foundation has to be trusted, governed, and explainable. The answer gets practical in "Building an AI-Ready Finance Lakehouse with dbt, Governed Metrics, and Databricks", where Mou Rakshit shows how dbt, Databricks, Unity Catalog, and governed metrics create an AI-ready lakehouse.

Topic
Artificial Intelligence and Machine Learning
Time
Oct 30, 2026, 10:00 AM
Room
Room A