Senzing is the first to deliver real-time AI for entity resolution. Senzing entity resolution
provides organizations with new insights to make better business decisions while reducing
operational costs. The Senzing API is the fastest and easiest way for commercial software
vendors, and organizations in financial services, public sector, information services and other industries to integrate highly accurate, flexible and scalable entity resolution capabilities into applications, data fabrics and other data services. Senzing is Smarter Entity Resolution. 

Senzing

*   [From disparate data sources to unified knowledge graphs: Introducing entity resolution in Linkurious](https://www.youtube.com/watch?v=AUWLTWllMQI)
*   [Money Mules Unmasked: How to detect and investigate complex networks in minutes](https://www.youtube.com/watch?v=L4IG3jm5eM8)
*   [Financial crime investigations with graph analytics: Best practices from a data scientist](https://linkurious.com/blog/financial-crime-investigations-graph-technology-best-practices/)
*   [Contact Linkurious](https://linkurious.com/contact-us/)

Financial crime investigations rely on clear, connected data. Fragmented records can hide key relationships, making it harder to detect risk. Linkurious is integrating Senzing® entity resolution (ER) via a no-code interface, simplifying the process of unifying entities and strengthening the use of graphs and link analysis for investigations.

In this podcast, Thibaut Kellam, Head of Customer Success at Linkurious, will demonstrate the practical application of ER within Linkurious. In addition, we’ll discuss real-world financial crime investigations where graph analytics and visualization play a key role, as well as highlighting best practices, scaling considerations, and lessons learned from successful graph projects.

### **What we’ll cover:**

*   No-Code Entity Resolution in Linkurious
*   Live Demo: ER Mapping in Linkurious
*   Graph-Powered Financial Crime Investigations
*   Q\&A
