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

Financial services partner organizations should offer best-in-class customer communication technology, with easy implementation, ongoing management and impressive results

Multi-channel vs. omni-channel communications may seem to be a matter of semantics, but it represents a real difference in how successful your customer programs will be

A new survey shows how many debt collectors are missing the mark in their contact strategies

The pandemic has put stress on lenders' and debt collectors' ability to meet inbound demand - here are 5 points for reviewing your abilities

Automate the prescreen process and create personal and frequent campaigns

New data points to problems lenders have executing customer-centric collections

The UK's financial regulator is calling for greater operational resilience - here's how collections operations can respond

Taking a forward-looking approach to debt management can help us manage the current crisis

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.

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.