Understand what fraud analytics entail and how they leverage AI, machine learning, business intelligence and data science to improve fraud detection

Which works better for building credit risk models: using AI and machine learning or using traditional scorecards?

Here's how to get the full power of machine learning without losing the transparency that’s important from credit risk scorecards

Credit & Collections Technology Awards recognize our scams model with the award for Machine Learning - here's why

In 2022, FICO was granted 11 new U.S. software patents

A pragmatic approach I call Practical AI will rise in 2023 like a phoenix from the ashes of years of irrational exuberance around artificial intelligence

Helping organizations navigate the often-challenging implementation of Responsible AI as part of ESG efforts

FICO’s new Scam Detection Score identifies 50% more scam transactions compared to the standard fraud score

New "State of Responsible AI" report from Corinium and FICO finds that most companies don’t—and are deploying artificial intelligence at significant risk

There is an urgent need for open banking fraud detection, even before banks have sufficient data to train supervised fraud detection models

Now there is a better way to reduce SAR false positives while stopping money laundering

In part 1 of this series, I explore why it's vital - and difficult - to achieve monotonicity and palatability in certain AI models

COVID-19 will push AI into the mainstream, says FICO's Chief Analytics Officer - but further controls are needed

New AI and machine learning technologies can shine a light on how COVID is changing customer behavior

Home food deliveries have jumped in the pandemic, but FICO data shows that food delivery fraud hasn't