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.

After 65 Years, FICO (still) innovates and leads with our software solutions.

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

How FICO works with telecommunication providers to drive smarter, more personal customer decisions and offers.

Thoughts on personal loans, consolidations and the auto industry.

How FICO works with lenders to improve the automotive lending experience

Banks spend too much time trying to predict things, rather than mapping out how their people, processes, and technology will need to change if they are successful.

I’ve found that the banks that see the best return on their customer acquisition investments tend to be the ones that have also invested appropriately in their collections capabilities

With new customer acquisition costs spiraling out of control and nimble competitors trying to pick off profitable portions of your portfolios, there’s never been a more critical time to invest in customer management.

What are the top four areas of tactical concern within consumer banking that bank executives will make significant progress addressing in 2019?