How does progress in artificial intelligence stack up to the FICO credit score model?

Here's how technology from the banking space can help telcos compete with aggressively competitive sales and retention tactics

Blending artificial intelligence, machine learning and domain expertise in the design of credit scores - a video discussion with Agus Sudjianto

As telcos make the transition from on-premises to cloud-based platform solutions, they need to get maximum value from the data sets, information sources and insights available

Pre-screened, right-sized offers and the efficient use of ‘just-in-time’ data are helping telcos win, retain and safeguard more customers – regardless of age or credit profile

Automate the prescreen process and create personal and frequent campaigns

FICO Scores R&D has empirically investigated potential benefits and risks associated with using some of the latest AI and machine learning approaches for credit scoring.

Here are 11 simple ways for shoppers to protect themselves from Black Friday fraud while splurging on seasonal bargains.

My presentation on “Transparency by Design: An Explainable AI Approach to Credit Risk Scoring” discusses our application of recent machine learning technologies to challenge the US FICO® Score.

We just completed a survey to ask thousands of consumers in the UK and US exactly what they think about those security measures and fraud processes that are designed to help them stay safe online.

How are advances in artificial intelligence and machine learning changing credit risk assessment? That’s a topic I’ll be exploring in three presentations at FICO World 2018.

Want to know which consumers will more likely default when they encounter an unpredicted financial stress situation in the future? Traditional risk scores won’t give you the full picture.

Many machine learning terms are pure clickbait without any augmentation. Test yourself. Would you click on these headlines?

AI, and more specifically machine learning, are generating enormous buzz in many areas. But are these claims realistic?