Models Built by People Who've Seen Fraud Happen
Models Built by People Who've Seen Fraud Happen Domain expertise, bias auditing, and a tiered feature design behind VALID’s Real-time Loss Alerts model
The Retention Dividend: How Reducing Attrition Builds Your Deposit Por tfolio
The Five Patterns of Customer Attrition: A New Framework for Proactive Retention in Banking Introduction Customer attrition is one of the most persistent and misunderstood..
State of Fraud Consortia in Lending
First Payment Default signals in Loan Underwriting
Responsible AI in Financial Services: How Banks Build Trust
As Financial Technology (FinTech) continues to revolutionize how people and businesses manage their finances, the industry faces an escalating challenge: fraud. With the..
How to Become an AI-Powered Bank: A Practical Roadmap
Artificial intelligence (AI) is revolutionizing the banking sector, reshaping customer experiences, streamlining operations, and enhancing risk management. As competition from..
Understanding Data Drift: Protecting ML in Banking
At VALID, we take pride in providing consistent results for our clients and partners. Our machine learning models are a crucial component to generating those results. One of the..
Defending Trust: Innovations in First-Party Fraud Prevention
Did you know First-party fraud is a growing $100 billion problem?