Anupama Natarajan

Modern database development is shifting from manual scripting to AI-assisted engineering. Using Visual Studio Code, MSSQL extensions, SQL Database Projects, and GitHub Copilot, this session demonstrates a complete AI-native workflow.

This is the "connect-the-dots" session - Fabric IQ provides the semantic foundation, Ontology provides a governed, cross-domain model of business entities and relationships, and Data Agents use that meaning to deliver grounded, conversational Q&A and reasoning over Fabric items.

Explore how SQL database in Fabric powers modern operational and analytical workloads in a single platform. Through a global automotive dealership network, learn how inventory, service records, test-drive logs, and customer activity are unified into Fabric to build high-performance apps, real-time insights, and AI-assisted analytics.

In today’s data-driven world, organizations must strike a balance between accessibility and compliance. Microsoft Fabric, integrated with Microsoft Purview, offers a comprehensive governance solution that ensures data quality, compliance, and security across your data ecosystem.

The integration of Copilot with Real-Time Intelligence in Microsoft Fabric marks a new era of AI-powered analytics, revolutionizing how organizations harness data in real time.

This one-hour session will provide you with insights into the cutting-edge GPT-4 model and how Azure enables you to harness its capabilities for innovative AI applications. Whether you are a developer, data scientist, business professional, or simply interested in the future of AI, this session...

Copilot, an AI Assistant that can understand Natural Language inputs and provides outputs depending on the context of where it has been used. Copilot makes data analytics easy and accessible to all data professionals, even the ones without any technical background.

In this session, you will get to learn how to enrich your data in spark tables with models created using Automated ML in Azure Synapse Analytics. We will be looking at a demo where we will create regression and classification models using Automated ML and how to use these models for prediction...