Accelitas Insights

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.

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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.

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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

No time to lose. In 2019, lenders simply have to be smarter.

In 2019, it is vital lenders use their resources and become smarter. Time is of the essence and businesses are attempting to navigate growth while avoiding risks such as inadequate credit scores, tightening demand and managing changing demographics.

BlogPost 11804232100 No time to lose. In 2019, lenders simply have to be smarter.

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Tags: lending, Financial Services, AI Lift, Accelitas, Artificial Intelligence

The Benefits of Crossing Disciplines in Artificial Intelligence

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 5709451706 The Benefits of Crossing Disciplines in Artificial Intelligence

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Tags: Machine Learning, lending, Artificial Intelligence, linear model, interpretable results