The companies that buy up the majority of the country’s home loans will now accept a second credit scoring model for mortgages — a change that could help underrepresented borrowers qualify for ...

LendScore uses real-time cash flow data and unique account connection insights from the Plaid Network to provide lenders with an updated view of borrower risk To give lenders a more complete financial ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase, banks require ...

Having spent over 2 decades in banking and financial services, I have seen how financial models evolve, but never at the speed seen today. AI is reshaping credit risk assessment, offering a more ...

While much of the activity in the AI markets are focused on the tech giants chasing ever-increasing model sizes and compute budgets, financial company FICO is going the other way with smaller, smarter ...

A credit solutions expert shares the top three "timeless habits," tips and advice as America's mortgage market adjusts to new credit scoring models that widen the door to homeownership.

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the highest and most stable sensitivity, accuracy and discriminatory power, ...

Financial modeling predicts a company’s financial performance using historical data. Financial modeling aids in decision-making for budgeting, investing, and valuation. Models can apply to diverse ...

The ASR approach “adaptively adjusts weights for sensitive features such as collateral values and transaction history during model training to enhance fairness.” Constrained access to microcredit ...

What if you could predict a company’s financial future with precision, make data-driven decisions, and impress stakeholders, all using one tool? Excel, often underestimated as a simple spreadsheet ...

A new, free leaderboard created and continuously updated by the Kensho team at S&P Global gives people in the financial industry a sense of which generative AI models work best for specific use cases.