On AWS, FICO DM Suite enables next-gen analytics – including AI and ML algorithms – that helps CxOs convert their “change agent” agendas into competitive advantage. [Read More]
Machine learning in fraud detection performs better when we know the strengths and limitations of different analytic toolkits, and understand the factors that determine accuracy.[Read More]
The National Board for Customer Disputes in Sweden have ruled that banks should be liable for so-called “push payment” fraud losses over a certain amount.[Read More]
Over the last year FICO has been actively engaged with Amazon Web Services to broaden its software portfolio deployment options to include the AWS public cloud. We have seen significant progress as we have rolled out support for FICO® Customer Communication Service (CCS), and FICO® Tonbeller AML solutions on AWS. Both solutions achieved Amazon Web Services (AWS) Financial Services Competency status. FICO DMS is now available as a FICO managed service on Amazon Web Services Recently, we achieved a few significant milestones for the FICO Decision Management Suite (DMS or DM Suite). The DM Suite is now available as a FICO managed service on AWS. In addition, it is now compliant with the Well Architected Review (WAR) framework. Lastly, it is now available as a fully Payment Card Industry (PCI) security compliant implementation. We are very pleased with how smoothly and quickly these milestones were achieved for a solution as... [Read More]
Machine learning in fraud detection performs better when we know the strengths and limitations of different analytic toolkits, and understand the factors that determine accuracy.
The National Board for Customer Disputes in Sweden have ruled that banks should be liable for so-called “push payment” fraud losses over a certain amount.
Are we making the progress we want to see — and regulators demand — on non-performing loans (NPL)?
Following a slide that lasted four+ years, the FICO® Credit Health Index for Russia began climbing in April 2016 and climbed another 2 points last quarter.
For the past 22 years, the National Automotive Finance (NAF) Association has produced a report for the non-prime auto financing market which serves as a key source of benchmarking for those who participate in or support non-prime automotive financing. This year, FICO was pleased to coordinate the survey, market data, and generate the final analysis and report. The study collected survey data from 40 different non-prime financing sources that represent about $35 billion in portfolio value on topics like financial performance, competitive landscape, and investment priorities. The data from the survey was then complemented with data from TransUnion and IHS Markit to show transactional loan data on how the larger market is performing. FICO looked at things like the number of non-prime loans completed, average FICO Auto Score, average amount financed, delinquency rate, and other performance metrics. We also incorporated vehicle value data from Black Book and alternative data from FactorTrust... [Read More]
Until now, it has been very difficult for a lender to understand the pressures on any consumer in terms of their ability to absorb more credit and pay off the required instalments, without placing unbearable stress on their finances.
Our 2018 cybersecurity survey and white paper look at whether IT and senior management are overstating their ability to deal with threats.
Hypnofraud refers to the success fraudsters are having with convincing people to give them their account data - but the fraud based on this can be detected and stopped.
You can’t control the sun, the wind or the snow. But using predictive and prescriptive analytics, along with optimization algorithms, you can do the next best thing.