Industry experts are being invited to submit presentations on the theme of machine learning and artificial intelligence for the next International Asset Finance Network Conference, which takes place on December 12 in London.
The IAFN was established in 2014 as a network for auto, fleet and equipment finance providers to debate how technology is transforming how customers use and pay for assets.
It is now the largest asset finance event in Europe attracting more than 450 senior delegates from OEMs, manufacturer captives, banks and independent finance providers.
Machine learning and artificial intelligence offer significant potential for auto and equipment finance providers to transform their products and services.
They can be applied across the existing credit cycle to build in-life services and to enable development of new models for auto and equipment finance, including pay-per-use, asset-by-subscription and advanced/servitised outcome based payment models.
Edward Peck, co-founder of the International Asset Finance Network and chief executive officer of Asset Finance International, said: “We will look at using artificial intelligence and machine learning to increase new sales, improve loyalty and reduce the duration of the trade cycle.
“Other areas covered include managing customer (credit) risk, asset risk and new emerging risks associated with servitised models – such as usage risk and how to reduce cost to serve – for example through the use of robotic process automation.”
The conference, supported by headline sponsor Alfa, will start with a case study from a manufacturer that has embedded artificial intelligence into its business processes, while delegates will also receive exclusive access to insights from the latest research results into servitisation from Aston Business School, supported by research sponsor Genpact.
Delegates will also obtain expert guidance on how to overcome challenges, including organisational resistance, managing the skills gap, training and building a test-and-learn business environment.
To submit papers or proposals for conference presentations at the December event, email email@example.com or call Edward Peck on 0208 3183512.