Microsoft Reactor Redmond

Most organizations aren't building on greenfield applications. They're building on decades of accumulated code, integrations, and undocumented business logic.
As AI becomes a core part of software delivery, teams face a new challenge: how do humans and AI agents work effectively in systems nobody fully understands?
This session explores the hidden costs of system ambiguity, compares common approaches to understanding legacy environments, and discusses how organizations can create a persistent intelligence layer with CoreStory that enables safer modernization, faster onboarding, and more confident AI-assisted development.
Series Info - https://aka.ms/StartupSpotlight/S-1443
[EventID:27461]

AI applications depend on scalable and reliable data platforms.
This session explores how Microsoft Fabric enables modern data engineering workflows through lakehouse architecture, data ingestion, orchestration, Spark-based processing, analytics, and governance.

Attendees will learn how to build strong data foundations to support analytics, machine learning, and generative AI workloads.

Key takeaways:

• Modern lakehouse architecture
• Building scalable data pipelines
• Spark and Fabric integration
• Data engineering best practices for AI workloads