Financial fraud is growing and it’s expensive.
A mix of factors are combining to create a lower entry barrier for fraudsters and high-risk customers. This makes it imperative for financial services institutions (FSIs) to prevent fraudulent activity from occurring in the first place.
Implementing ML/AI tools to predict risk levels and the likelihood of fraud enables fraud and risk leaders to fight losses by successfully pre-screening applicants to avoid engagement with high-risk customers and/or fraudsters.
Here are three ways you can use ML to detect fraud and high-risk transactions early, before you move forward with ineligible applicants or fraudsters.
Consumer-packaged-goods companies are facing anevolving consumer behavior landscape responding to aweakened economy and high inflation, this following thechanges triggered by the pandemic. Though thecircumstances are challenging, projections for growth inthese…
Ongoing challenges for manufacturers have been exacerbated by inflation-driven, rapidly rising prices affecting everything from distribution costs, and business closures. This climate makes it more crucial for manufacturers to penetrate…
Financial fraud is growing and it’s expensive. A mix of factors are combining to create a lower entry barrier for fraudsters and high-risk customers. This makes it imperative for financial…
