From Hype to Reality - Fighting Fraud with Graph Analytics

• Ivan Skula
• 14.8.2025

Fraud is connected and contextual. Graph analytics adds layer of context to boost detection, triage, and uncover what rules and ML on their own can’t.

From Hype to Reality - Fighting Fraud with Composite AI

• Ivan Skula
• 25.7.2025

Composite AI fights fraud smarter by combining ML, rules, graphs & behavior analytics. Real cases show why silos lose & synergy wins.

From Hype to Reality - Fighting Fraud with Synthetic Data

• Ivan Skula
• 20.5.2025

Outsmart fraud with synthetic data: generate on-demand fake scenarios to train, test, and stress-test your rules and models - privacy-safe, scalable, and bias-free.

Essential Skills for the Modern Fraud Fighter

• Ivan Skula
• 12.7.2024

Overwhelmed by information overload and an ever-evolving fraud landscape? We feel the same. Let’s explore how to stay up-to-date by prioritizing foundational skills for effective day-to-day work.

How (not) to train the fraud detection model! (Part 2)

• Ivan Skula
• 13.11.2022

In the follow-up to last week's story, Milo will further widen his view on possible routes he can take. He will also realize how overwhelming it could become to improve the predictive model through additional features an

How (not) to train the fraud detection model! (Part 1)

• Ivan Skula
• 06.11.2022

Democratization of analytics is getting the analytics tools out there - to the hands of the many as opposed to only a selected few (that had these tools in the past). Daily we are bombarded with various buzzwords related