Feedzai Techblog

Learn about JupyterLab Snippets and how we enabled data scientists to manage and use code snippets directly on JupyterLab.

Mitigating information overload in the analysis of financial data through automated highlights, textual insights, and visual analytics.

A method that uses GenAI to create synthetic money laundering behaviour and trains a ML detection model without requiring labelled data.

By Sérgio Jesus, Inês Silva, Pedro Saleiro, Hugo Ferreira, Pedro Bizarro

In the world of financial services, the bank or financial institution’s relationship with the customer relies on digital trust, which is…

Introducing Explainable AI: how we make complex AI understandable and transparent, to help decision-makers understand and trust AI models.

We introduce LaundroGraph, a self-supervised system based on graph-neural networks to assist experts during anti money laundering…

Learn how to create screen reader accessible charts with our Data Visualization team using AutoVizuA11y

Do you want to understand how to unify multiple, complex products into a single UI? Then you found the right post!

The goal of this project was to create a Figma library of charts that helps Feedzai’s Data Viz and UX teams creating their mockups.

In the second blog post about Feature Investigation, find out more about our visualizations to help data scientists analyze data drifts.

In this first blog post about Feature Investigation, learn about our highly efficient method for data drift detection and monitoring.

Find out about Altair themes and a new Python package for Data Visualization with Altair.

A story on how I became a UX Designer Intern and spent my summer working on rewarding projects. Learn about my journey from start to…