About this Talk
In this talk we’ll canvas the Enterprise Knowledge Graph, and how you can apply it using its cornerstones of:
- Foundational building blocks
- Information model expressivity
- Machine understandable representations
- Transcending the relational model
- How an EKG expands on a graph and a knowledge graph
- Provides an infrastructure for Machine Learning
- Contrasting an unlinked with linked data environment
- Question and answering model emergence
- Semantic similarity & embedding
- Focused UI
Talk+Live Q&A at the Western Auditorium in Connected Data World Center
You need an access pass to attend this session: Diversity Access Pass or Full Access Pass apply
About The Speakers
SVP, Head of Enterprise Knowledge Graph Solutions, Data Management and Insights, Wells Fargo
David provides leadership and expertise for the advancement of knowledge graph solutions at Wells Fargo. His team develops innovations that employ key knowledge graph capabilities, including ontology models, semantic and property graph databases, graph analytics, knowledge graph embeddings and graph visualization techniques.
Technical Lead, Knowledge Graph & Semantic Technologies, Wells Fargo
Presently a member of Data Management & Insights, fostering Wells Fargo efforts and building applications as Technical Lead in Knowledge Graph & Semantic Technologies. Prior to his current role, Omar built novel solutions for the business during an 11-year tenure as a consultant and full-time employee within Brokerage Technology.