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 relevance, dynamic self-updating, understandability with intelligent metadata, and the combination of heterogeneous data. 


Nav Mathur will discuss the 3 main types of knowledge graphs (context-rich search, external insights sensing, and enterprise NLP) that build on each other, and how and why real-world organizations are utilizing graphs as the building blocks for their applications.
Also covered will be ideas on how to start building 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 to leverage it for business applications.

Nav Mathur
Senior Director of Global Solutions

Nav is seasoned in business development and brings over 20+ years of experience in consulting focused on Strategy, Planning and Transformational Business & IT Solutions. Previously, Nav was at Wipro heading sales for the Enterprise Architecture practice across North America. He was also in a similar role at TCS previously. Nav also had a long stint at Cambridge Technology Partners starting as a developer and eventually leading the North America Architecture Practice. Nav holds a Masters degree in Software Engineering from Boston University and a Bachelor’s degree in Computer Engineering. He has also completed an executive management course from Babson College. Nav lives in the Bay Area with his wife and 2 boys and is an experimental chef and wine nut.

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