Modelshop - Targeting credit offers with AI

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Targeting credit offers with AI

James Marsh
September 24th 2019

What are the benefits of supercharging my credit model with machine learning and AI?

Models that leverage machine learning and AI can predict, with greater accuracy, applicant behavior. It gives organizations an edge; they can offer products to applicants that they are more likely to purchase. This leads to higher conversion rates and more closed deals.

Do I need to be a data scientist build an AI model?

Building AI solutions used to require data scientists and data engineers. Now, teams with varying degrees of technical expertise can build models themselves with out-of-the-box machine learning algorithms.

So how does it work?

Modelshop enables users to connect data from internal and external data sources and build models using custom variables in a grid-like format. With a few clicks, they can then train machine learning algorithms that can increase the accuracy of their models. They can review expected model performance in a dashboard and in one click, they can deploy their model as real-time APIs which can automatically make decisions and price product offers.

Watch Product Manager, James Marsh, configure a custom credit model with machine learning

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