The growth of fraud associated with real-time payments has already caused liability and regulatory changes abroad – will it happen in the United States too?

FICO fraud expert TJ Horan talks fraud management and responsible AI with FICO's Chief Analytics Officer, Dr. Scott Zoldi

How the FICO Platform can enable explainable machine learning models for more effective PD calculations

Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending

Explainability in fraud management covers everything from how fraud systems work to how their models are trained to how they are fueled by the right data

Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.

If done properly, using AI and machine learning in fraud detection can clearly distinguish legitimate and fraudulent behaviors while adapting over time to new tactics

Cobots are collaborative robots, and they're part of the way financial services fight fraud and financial crime

The new FICO community will give you more detailed practical information to help your organization fight fraud & financial crime, and hear from fraud experts

Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability

FICO’s recent Chartis ranking as Category Leader reflects best-in-class enterprise fraud management solutions

A Fireside Chat with Julie Conroy, Research Director of Aite and TJ Horan, VP of Product Management at FICO

A Fireside Chat with Julie Conroy, Research Director of Aite and TJ Horan, VP of Product Management at FICO

A Fireside Chat with Julie Conroy, Research Director of Aite and TJ Horan, VP of Product Management at FICO

Check out what the industry is saying at this year's Aite Financial Crime Forum