Accelitas Insights

In the post-pandemic world, lending has shifted — and alternative data is leading the way

In the post pandemic world, changes in account validation regulations are accelerating. Accelitas CEO joins Lend360 panel to discuss potential and coming changes. Learn more.

BlogPost 61079927384 In the post-pandemic world, lending has shifted — and alternative data is leading the way

Read More

Tags: credit risk management, Credit Risk Web Service, Credit Scores, Alternative Lending, Credit Reporting, Real-time Data, Predict Credit, Bank Account Verification, Fraud Screening, traditional lending, bank account validation

Giving traditional credit scores a serious turbo charge

Accept more creditworthy customers with the scored applicants you have already rejected, and identify millions of un-scored and thin-file consumers

BlogPost 19308904324 Giving traditional credit scores a serious turbo charge

Read More

Tags: Machine Learning, lending, AI Lift, Accelitas, Artificial Intelligence, linear model, interpretable results, Credit Risk Web Service, Credit Risk, Adverse Actions, Credit Scores, credit screening, Explainable AI, predictive analytics, CFPB, near prime, FCRA, thin-file, un-scored, FCRA Compliant

How to weather the latest lending forecast: Let a Microclimate™ credit score guide you.

Micro-Climate credit scores are becoming the guiding principle for how to weather and navigate the current lending landscape. With the use of Accelitas's AI Life tool, an AI-powered Credit Risk Web Service, it is changing the way lenders are looking at their current landscape and access new borrowers.

BlogPost 11809142687 How to weather the latest lending forecast: Let a Microclimate™ credit score guide you.

Read More

Tags: Machine Learning, lending, data waterfall, Artificial Intelligence, linear model, interpretable results, Alternative Data, Credit Risk Web Service, Credit Risk, Credit Scores, credit screening, predictive analytics, Alternative Lending, micro-climate score

What does traditional credit screening miss? Start with 70 million potential customers.

AI includes disciplines such as applied statistics, data mining, pattern recognition, machine learning, deep learning, probabilistic methods, and big data. When applying AI to solve a problem, it is often beneficial to leverage techniques from more than one of these disciplines and sub-disciplines.

BlogPost 11806683277 What does traditional credit screening miss? Start with 70 million potential customers.

Read More

Tags: Machine Learning, lending, Artificial Intelligence, linear model, interpretable results, Alternative Data, Credit Risk, Credit Scores, credit screening, Millennials, Gen Z, Alternative Lending, Credit Invisible