Scientific discovery is accelerating—and so is the complexity researchers must navigate. Modern research and development teams must work across fragmented data, increasingly complex experiments, and growing pressure to innovate faster.

In this on-demand webinar, explore how Agentic AI and graph-based retrieval-augmented generation (GraphRAG) can create a unified reasoning layer across literature, simulations, lab notes, and proprietary datasets. Together, these capabilities help researchers ask deeper questions, explore broader hypothesis spaces, and design more reproducible scientific workflows.

You’ll also learn how to:

• Unify scientific knowledge with GraphRAG to connect papers, lab notes, simulations, and internal data into a research-ready knowledge graph
• Accelerate scientific workflows with Agentic AI by supporting hypothesis exploration, experiment design, and root-cause analysis
• Build adaptive, auditable research assistants by combining AI agents, knowledge graphs, and modern research platforms on Azure AI and Microsoft Research technologies