In October of this year, Enterprise Knowledge held our annual Semantic Layer Symposium (SLS) in Copenhagen, Denmark, bringing together industry thought leaders, data experts, and practitioners to explore the transformative potential, and reflect on the successful implementation, of semantic layers. With a focus on practical applications, real-world use cases, actionable strategies, and proven paths to delivering measurable value, the symposium provided attendees with tangible insights they can apply within their organizations.
We’re excited to continue to release these discussions for viewing: next up is a talk on investigating financial crimes with graph, presented by Paco Nathan of Senzing.
Entity Resolution: Finding the Best Customers and Worst Criminals Hidden in Your Data
Speaker: Paco Nathan (Senzing)
Entity resolution generates an overlay on structured data, producing the building blocks (nodes, relations, properties) for a backbone to organize a knowledge graph. Think of this as a way to help generate and update key components for a semantic layer. This talk explores downstream FinCrime use cases, leveraging real-world data: investigations enhanced by graph analytics; GraphRAG and agentics made more accountable; and temporary graphs for identifying crime in progress.