Sukant Pandey

aianddatamgmt.substack.com

Sukant is an enterprise data and governance architect with over 26 years of experience designing and delivering large-scale SQL Server, Fabric, MDM, and analytics platforms across retail, logistics, and regulated industries. He has led global data transformation programs for Fortune 500 organizations, built and scaled data governance and master data practices, and advised C-level leaders on platform modernization, AI readiness, and regulatory compliance. Sukant’s work sits at the intersection of SQL platforms, real-time data, and governance-first architecture, focusing on why modern data systems fail at scale — and how to design them to work reliably with AI, Copilot, and automation. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5842004 https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=sukant%20pandey%20data

Proposed Sessions for 2026

Making AI and Copilot Work on Real SQL & Fabric Data Platforms

Copilot and AI tools work well on clean demos, but struggle on real SQL and Fabric platforms. This session explores common failure patterns — schema drift, unclear ownership, and trust gaps — and shows practical architectural patterns to make AI useful, safe, and reliable.

Practical Architecture Patterns for Reliable AI on Microsoft Fabric

AI and Copilot features are becoming core to Microsoft Fabric, but many teams struggle to use them reliably on real enterprise data. This session presents proven architecture patterns that improve trust, stability, and outcomes when combining AI with Fabric and SQL data platforms.

Why AI Fails on Modern Data Platforms — And How Governance-First Architectures Fix It

AI tools promise faster data platforms, yet most fail at scale due to broken governance, trust and explain-ability. This session shows why human-in-the-loop data breaks AI, and how governance-first architectures enable safe, autonomous data systems on SQL and Fabric.