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Enhancing Graph Investigations with No-Code Entity Resolution in Linkurious

Senzing

01:11:50

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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

Speakers

Paco Nathan

Paco Nathan

Principal DevRel Engineer, Senzing

Paco Nathan leads DevRel for the Entity Resolved Knowledge Graph practice area at Senzing and is a computer scientist with +40 years of tech industry experience and core expertise in data science, natural language, graph technologies, and cloud computing. He's the author of numerous books, videos, and tutorials about these topics.

Thibaut Kellam

Thibaut Kellam

Head of Customer Success

Thibaut Kellam is the Head of Customer Success at Linkurious and an AML and fraud specialist certified by ACAMS. With 10 years of experience in anti-financial crime, both in financial institutions and at Linkurious, Thibaut helps organizations worldwide uncover hidden criminal networks, detect complex fraud schemes, and strengthen their financial crime defenses using graph technology.

Enhancing Graph Investigations with No-Code Entity Resolution in Linkurious

01:11:50

Watch