How Knowledge Graphs Help Identify Bad Financial Actors and Commercial Opportunities at Scale

Join Quantexa’s technical experts as they demonstrate how context-rich knowledge graphs can be used to reveal unknown risks in your customer base (incl. Fraud and Scams exposure), as well as to identify opportunities to grow your business.

In this session, we'll demonstrate how multi-hop graph techniques explore proximity and paths to illuminate relationships and communities of interest.

We’ll also cover how organizations can use vast data sets to identify hidden data signals for accurate identification, deeper analysis and investigation of suspicious cases.

With examples from financial risk detection and customer intelligence, you’ll discover how both data and operational teams can use graphs to look wide, deep, and efficiently make complex connections to support better decision-making.

By attending this webinar, you will:

- Discover how knowledge graphs uncover hidden insights in the largest data sets.

- Learn how ego graphs mine and deliver deep insights.

- Explore how multi hop techniques can apply to real-world use cases for risk detection, customer intelligence, and big data analytics.

- Uncover how data scientists and analysts can combine for effective decision-making, with tools like notebooks and user interfaces.

- Gain best practice techniques for scaling graph-based infrastructures.