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NEWS

Leaning Into Innovation
to Bring Newfound Speed and Accuracy to Credit Risk Modelling

Allison Karavos
April 14, 2022

Leaning Into Innovation to Bring Newfound Speed and Accuracy to Credit Risk Modelling

To really level-up decisioning, organizations need more data, more automation, more sophisticated processes, more forward-looking predictions and greater speed-to-decisioning. And to this end, they need AI, machine learning, and alternative data.

In an article in Global Banking & Finance Review, Kim Minor, Senior Vice President, Global Marketing at Provenir, outlines the key findings of a survey which reveal a great state of uncertainty in credit risk modelling, underscoring the need for AI, machine learning, and alternative data.

Read the full article at Global Banking & Finance Review.

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