Explore how Nasdaq Boardvantage leverages Azure's cloud infrastructure and AI capabilities to power secure, intelligent board operations for Fortune 100 companies in this 38-minute conference session from Microsoft Ignite 2025. Discover the technical architecture behind a platform trusted by nearly half of Fortune 100 companies, examining how Azure Database for PostgreSQL and MySQL, Microsoft Foundry, Azure Kubernetes Service (AKS), and API Management work together to create a resilient system that protects confidential data while enabling advanced agentic AI features. Learn about Nasdaq's cloud migration journey and regulatory compliance strategies using Azure, understanding the scalability benefits and reduced infrastructure management overhead achieved through Azure adoption. Dive into the evaluation and implementation of AI opportunities that led to Smart Document Summarization and AI Meeting Minutes features, including the technical details of storing extracted data in PostgreSQL with PG Vector for efficient hybrid search capabilities. Examine the process of generating finalized meeting minutes by matching agenda sections with relevant data, and understand the challenges faced with existing microservices that led to implementing a fan-in fan-out orchestration approach. Get detailed insights into the chat assistant architecture using Azure functions and vector databases, and discover how Azure AI Foundry and Prompt Flow are utilized to address critical challenges around determinism and hallucination in AI systems. Presented by Charles Feddersen and Mohsin Shafqat, this advanced-level breakout session provides practical insights into building enterprise-grade AI-driven governance solutions on Azure's open-source database platforms.

Syllabus

0:00 - Overview of NASDAQ Board Vantage using Azure open-source databases
00:09:15 - NASDAQ’s cloud journey and regulatory compliance using Azure
00:12:08 - Benefits of Azure adoption: scalability, reduced infrastructure management, and use of Azure AI Foundry
00:14:26 - Evaluating AI opportunities leads to Smart Document Summarization and AI Meeting Minutes features
00:22:33 - Storing extracted data in PostgreSQL with PG Vector for efficient hybrid search
00:23:09 - Generating finalized meeting minutes by matching agenda sections with relevant data
00:29:29 - Challenges with existing microservices and introduction of fan-in fan-out orchestration approach
00:31:53 - Detailed chat assistant architecture using Azure functions and vector database
00:33:39 - Using Azure AI Foundry and Prompt Flow to address determinism and hallucination challenges