The most popular posts in our Customer Development category dealt with digital banking, optimizing credit line increases, loan pricing and machine learning for credit risk models.

Hyper-personalizing customer treatments, understanding borrowers' financial resilience and scenario simulation and testing will all be priorities for financial services

As more people enter the collections queue due to rising costs and economic wobbles, our collections experts share their tips for early collections, digital approaches and more

From diversity in AI to the film Highlander to transformative banking experiences, these decision management topics pointed the way to the future

Insurers need to make real-time decisions using advanced analytics, with interactive communications, based on a complete view of the customer

How data sharing can improve credit risk decisioning

From BNPL to automated decisions with a human face, digital transformation trends are changing the way businesses work

Videos showcase how FICO Platform helps financial institutions improve customer satisfaction and build customer loyalty.

Increase conversion rates by 20%–100% while improving sales margins and customer retention with hyper-personalization, optimization and omnichannel campaigns

The most popular posts in our Customer Development category dealt with credit card payments, open banking, trends for financial services and small business lending

The 5 top posts last year dealt with digital transformation in insurance, automated originations, responsible AI, model governance and, strangely enough, movies!

At FICO’s UK CRO Summit, industry leaders shared approaches to managing risk models in the pandemic and other challenges in risk management

In an uncertain environment, decision optimization gives you what you need most - speed and control

Financial technology partners can help credit unions and regional banks compete by offering them the latest marketing automation software solutions.

Louise Lunn, head of global analytics delivery at FICO, explains how COVID-19 has driven more demand for AI, and what young women should consider about joining the field