Dawn of a new era in Credit Model Automation
Changes in demographics, the economy and technology are forcing credit providers to raise the bar on how they originate credit. To meet the challenge, a new generation of ‘credit model
Changes in demographics, the economy and technology are forcing credit providers to raise the bar on how they originate credit. To meet the challenge, a new generation of ‘credit model
There’s a lot of buzz around AI in banking. It’s fun, edgy and brainy. Emerging vendors claim all forms of AI from re-balancing your investment portfolio to interdicting fraud. While these
When evaluating a loan application, the most important thing a lender must do is verify the applicant’s income. By integrating Plaid’s bank transaction report into a credit model, lenders can
Alex Waldner shows the process of building a credit decision application from scratch on Modelshop
Executed poorly, these next generation origination platforms will result in the same opaque, fragile, and poorly managed decision logic that plagued the custom origination solutions created in the 80’s the 90’s. The only difference is that these new platforms will be written in Python and Ruby instead of COBOL.
I had the privilege of working with a brilliant team of data scientists and engineers who put a big dent in credit card fraud in the early 90s. The product
Modelshop is an AI powered decision optimization platform. For a decade, our clients have used our no-code AI platform which spans the entire customer lifecycle journey (from origination, cash flow underwriting, automated credit decisioning, –all the way to personalized credit offers, portfolio performance, and member marketing treatment) in real-time without rip or replace their existing tech-stack.
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