Reducing fraud, improving debt collection and building customer loyalty are three gains businesses can achieve with a great customer communication strategy

FICO survey shows even digital-savvy customers still prefer to open accounts in branches - understanding their reasons can help you give them confidence in digital channels

By predicting customer scenarios and automating collections communications, telco operators can improve collections and lower costs

Fraud prevention leaders outline their concerns and priorities for tackling application fraud at FICO virtual roundtable

One effective way for service providers to protect customers against fraud schemes is through automated, real-time, two-way communication and notification

Service providers can expect to achieve improvements of 30% or more from applying advanced analytics to fight subscription fraud

Criminals are exploiting subscription fraud and using it as a gateway to other crimes - here's FICO's advice on how to stop it

FICO’s Fraud, Identity and Digital Banking Survey 2022 shows that customers in Canada want slick onboarding processes, where fraud controls work but don’t delay account opening

How the FICO Platform can enable explainable machine learning models for more effective PD calculations

Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending

Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.

As Hoist Finance shows, best practices in decision management – automation, digitization, centralization – also result in greener decisions

Customers and regulators are both interested in sustainable finance - here's how banks and fintechs can use automated decisions to advance their ESG goals

Using decision modelling and optimisation techniques similar to those used in navigation applications can help improve business performance by over 30%

Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability