Event: Microsoft Ignite 2025
Date: November 18–21, 2025
Location: Moscone Center,San Francisco
Microsoft Ignite 2025 will take place from November 18–21, 2025 at the Moscone Center in San Francisco, with a pre-day on November 17. The annual flagship conference brings together global developers, IT professionals, data scientists, and business leaders to explore Microsoft’s latest advancements across AI, cloud computing, data, and security. Attendees will gain hands-on experience through interactive labs, technical deep dives, breakout sessions, and live demos, all designed to showcase practical innovation and enterprise-ready solutions. This year’s event emphasizes how AI and intelligent cloud technologies can drive productivity, collaboration, and sustainable growth across industries—helping participants build new skills, connect with Microsoft experts, and reimagine what’s possible for the modern workplace.
AlphaLife Sciences is excited to participate and share our insights at the event. We look forward to engaging with you in person!
Presentation from AlphaLife Sciences:
Date: Nov 19
Time: 11:30am – 12:45pm PST
Room: BRK130
Link：https://ignite.microsoft.com/en-US/sessions/BRK130?source=sessions
Speaker:
-Sharon Chen, Founder and CEO, AlphaLife Sciences
-Maxim Lukiyanov, Principal PM Manager, Microsoft
-Abe Omorogbe, Senior PM, Microsoft
Topic: The blueprint for intelligent AI agents backed by PostgreSQL
At AlphaLife Sciences, our flagship platform AuroraPrime is designed for the life sciences industry to streamline and scale regulatory and medical document generation through advanced generative AI and agentic workflows. Built on robust backend architecture including relational data management (such as Azure Database for PostgreSQL or equivalent PostgreSQL-based design), our agents retrieve, transform, analyze, and author content from data pipelines to generate clinical protocols, study reports, and safety narratives with compliance assurance. By harnessing structured data, knowledge bases, and intelligent agent orchestration, the system maintains end-to-end traceability, built-in quality control, and automated revision logic. In this session, we will walk through how to design intelligent AI agents supported by PostgreSQL, enabling rapid data retrieval, integrity checks, and natural-language generation in real time — helping pharmaceutical teams accelerate documentation cycles and maintain regulatory robustness.
To request a meeting, fill out the form provided and a representative will be in contact soon to schedule.