Alfa, the provider of Alfa Systems, a software platform for the asset finance sector, has published the third and final paper in its series AI in Equipment and Auto Finance.

Part 3: Moving Forward with Machine Learning is produced in association with Alfa iQ, a partnership between Alfa and Bitfount that works with auto and equipment finance companies to build and deploy machine learning models.

Go deeper with GlobalData

Data Insights

The gold standard of business intelligence.

Find out more

The document explores the trajectory of machine learning, its uses in auto and equipment finance, and how ML will continue to advance in the near future. It includes an in-depth exploration of federated learning and how organisations can use private data to train ML models without ever compromising the privacy of that data.

Alfa & AI

Martyn Tamerlane, the author of the report, said: “AI and ML represent an exciting shift for finance providers and, while the benefits are better understood now than they were a couple of years ago, the practical side to acquiring those benefits is still unclear for many.

“Alfa’s aim for this series has been to expose that practical side; to demonstrate where ML can help solve problems and make lenders more competitive, through its ability to detect patterns in vast amounts of data and feed that into higher-quality, sometimes fully automated, decision making.

“Then, to show ML taking different forms; first as an in-house framework, and secondly relying on AI-as-a-Service. 

How well do you really know your competitors?

Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.

Company Profile – free sample

Thank you!

Your download email will arrive shortly

Not ready to buy yet? Download a free sample

We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form

By GlobalData
Visit our Privacy Policy for more information about our services, how we may use, process and share your personal data, including information of your rights in respect of your personal data and how you can unsubscribe from future marketing communications. Our services are intended for corporate subscribers and you warrant that the email address submitted is your corporate email address.

“Now we consider ML’s continued success, particularly in the context of the ever-increasing volume and variety of data that is being collected; but with complex challenges posed by data privacy, fairness and the high level of expertise required to analyse the data effectively.

“By illuminating the key characteristics of this technology, we’re providing a platform from which people can effect major change,” Tamerlane said.

Alfa’s previous publications in the series are Balancing Risk and Reward and Using Machine Learning in the Wild.