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

Boards of directors need to pay close attention to AI governance, Scott Zoldi writes in InformationWeek

FICO has been responsible for multiple industry-changing innovations in artificial intelligence, machine learning, and other contextually-driven analytics methods.

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

The clues are there about changing customer needs

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

US card data shows how medical equipment fraud and medical services fraud have changed in the pandemic

New research on artificial intelligence shows how CAOs and CDOs are responding to the current pandemic, economic uncertainty, and renewed focus on social justice

In a series on TechTarget's IoT Agenda, I discuss the 3 E's of artificial intelligence: ethical, explainable, and efficient.

In practical applications with impactful consequences, we need reliable, explainable models with well-defined scores that generalize well on yet-unseen data.

By leveraging machine learning, the FICO Falcon can help to capture the latest scams and frauds.

In this deep dive, Scott Zoldi explains how innovations in machine learning and self-calibrating models are finding more fraud and reducing false positives

Data bias and untrained data scientists pose risks to AI models - and the trust we place in business decisions