Banks and fintechs and other FIs have an opportunity to help customers affected by federal shutdown with flexible collection solutions.

Due to all the fines and scandals in 2018, I am convinced that AI will play a more important role in financial crime compliance.

Debt restructures are challenging in markets with increasing interest rates, as many organisations impose policy restrictions that virtually prevent reasonable restructures.

Neural networks are a powerful form of machine learning, but their black box nature often defies explainability. We have found a solution to this problem.

How are regulations changing approaches to collections and recovery? Those discussions drove the most-viewed posts on the FICO Blog last year in the Collections & Recovery category. Here are the top five posts from 2018.

As advanced analytics permeated nearly every industry in 2018, FICO's thought leaders continued to push it into new areas. Here were the top 5 posts in the Analytics & Optimization category last year.

What are the most read blogs in Risk & Compliance in 2018? This blog looks at the top 5 posts last year; unsurprisingly, topics around FICO Scores were of great interest.

The tremendous interest in AI and machine learning drove the readership on the Fraud & Security blog in 2018. Here are the five posts with the most views.

Regarding fraud analytics for open banking, unsupervised machine learning can be a strong weapon for fighting financial crime events

A case study in Business Intelligence shows some of the benefits Avis achieved using optimization to solve supply chain issues and make real-time decisions.

To comply with tax regulations, it is a must for a bank to check customers against these lists to avoid non-compliance, a damaged reputation and the support of illegal activity.