How FICO works with lenders to improve the automotive lending experience

Credit cards appear to be the main target of fraud, with an average fraud rate 1.5 times that of debit cards

FICO analytics can identify more low-value card fraud, an important next step in stopping criminals

The BoE's new report says explainable AI is necessary for machine learning to be applied in credit management

As CNP fraud targets the online growth in luxury spending, new analytics improve the velocity of detection

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.

“I’m Scott Zoldi and I’ve authored 95 patents on AI, machine learning and various analytic techniques. I’m Chief Analytics Officer of FICO. Ask me Anything.*

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.

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

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

My recent patent work has laid a foundation for what I predict will be the tech industry’s biggest development in 2019: ethical AI.

Behavioral profiling approaches are extremely important in tackling fraud that happens when banks share financial data with third parties through application programming interfaces.