Speaker: Nir Avrahamov, Developer Relations, Neo4j
Abstract: Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for superior decision support, and adding context for more intelligent applications (including AI). In this session, we’ll walk through the fundamental elements of knowledge graphs including contextual relevancy, dynamic self-updating, understandability with intelligent metadata, and the combination of heterogeneous data.
Our use cases will cover the 3 main types of knowledge graphs (context-rich search, external insights sensing, and enterprise NLP) that build on each other. You’ll hear about real-world examples that include organizations such as Refinitiv a leading provider of financial information, the German Center for Diabetes Research, eBay, and NASA.
We’ll also cover how you can build analytical applications on top of your knowledge graph using Neo4j Solution Frameworks quickly and easily. Attend this session to see real world knowledge graphs and walk away with practical approaches for building your knowledge graph and leveraging it for business applications.