Alfa Releases Second Paper on AI, “Using Machine Learning in the Wild” | Auto Finance News Alfa Releases Second Paper on AI, “Using Machine Learning in the Wild” | Auto Finance News
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Alfa Releases Second Paper on AI, “Using Machine Learning in the Wild”

Alfa by Alfa
September 9, 2020
in News Feed
Reading Time: 2min read

Alfa, provider of Alfa Systems, a leading-edge technology platform for equipment and automotive finance companies, has released its second paper on artificial intelligence in the industry.

Part 2: Using Machine Learning in the Wild is a more technical follow-up to 2019’s Part 1: Balancing Risk and Reward, exploring in detail two specific use cases which take very different approaches to machine learning implementation. It features a foreword from Blaise Thomson, whose speech technology start-up VocalIQ was acquired by Apple and formed an important part of the Siri development team.

Martyn Tamerlane, a Solution Architect at Alfa and co-author of the paper, said: “AI and machine learning are front and center in the asset finance conversation at the moment, but many don’t know where to start – how much expertise they need, what they can outsource, and where they should concentrate their efforts and costs.

“Our worked-through examples convey genuinely useful and practically applicable advice for people wanting to kick off their own machine learning projects. By comparing the approaches used, we offer advice on what’s right for others.”

The first example, which addresses automated license plate recognition and its ongoing embedding in business processes, takes an off-the-shelf approach to training machine learning models, drawing heavily on tools provided by AWS. Meanwhile the second, which analyses Alfa’s internal code tests, is carried out wholly in-house with existing resources and knowledge. The paper also features a decision aid to help readers clarify how their projects might compare.

2019’s Balancing Risk and Reward outlined the high-risk, high-reward nature of using AI in our industry, and machine learning in particular. Alfa will continue its commentary on AI in asset finance with further upcoming publications.

 

About Alfa

Alfa has been delivering systems and consultancy services to the global asset and automotive finance industry since 1990.

Our best in class methodologies and specialized knowledge of asset finance mean that we deliver the largest system implementations and most complex business change projects. With an excellent delivery history over three decades in the industry, Alfa’s track record is unrivaled.

Alfa Systems, our class-leading technology platform, is at the heart of some of the world’s largest asset finance companies. Key to the business case for each implementation is Alfa Systems’ ability to consolidate multiple client systems on a single platform. Alfa Systems supports both retail and corporate business for auto, equipment, wholesale and dealer finance on a multijurisdictional basis, including leases/loans, originations and servicing. An end-to-end solution with integrated workflow and automated processing using business rules, the opportunities that Alfa Systems presents to asset finance companies are clear and compelling.

With over 30 current clients and 26 countries served, Alfa has offices all over Europe, Australasia and the Americas. For more information, visit alfasystems.com.

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Tags: aiAlfaSponsored
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