Nav Mathur is Senior Director Global Solutions at Neo. He is responsible for solutions development and Go-To-Market activities for Solutions. Nav is a seasoned Solutions Leader, bringing over 20+ years of experience in Business Consulting focused on Strategy, Planning and Transformational 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 has a Masters degree in Software Engineering from Boston University and a Bachelors 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.
A Real-World Guide to Building Your Knowledge Graphs
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 tips for getting started from data modeling and ingestion to auto-labeling and data lineage. Attend this session to see real-world knowledge graphs and walk away with practical approaches for building your knowledge graph.