CASE STUDY: how to optimise lease renewals using machine learning

Presentation for lending professionals on the practical application of machine learning as a predictor of a lease entering a renewal period followed by Q&A’s.

Understand the project plan employed, and which ML models are deployed
Learn the key lessons discovered during real-life implementations
Find out what you need to do to get started – we’ll get Odessa’s insights on what lenders should do next
Artificial Intelligence has become a buzz word in asset finance, but the talk has mostly focused on the ‘what could be’ rather than ‘what is’. This session will explore a real world business case. A brief look at various forms of AI at a high level and a long deep dive into a specific use case highlighting Machine Learning (‘ML’) for predictions.

We’ll cover the process flow employed, outline the basic ML Models employed, detail the results and statistics associated with the models, and reveal key lessons we learned. We’ll also outline our view on what’s next. This session is not just for AI/ML engineers or a data scientists.

We’ll focus on the business side of AI and all conference attendees will gain a practical understanding of the value that AI is already bringing to the sector.15 minute presentation; 15 minute Q&A lead by John Rees, head of equipment finance at AFC.

Jeff Lezinski, Senior Vice President of Solution Architecture for Odessa
Interviewed by John Rees, head of equipment finance, Asset Finance Connect

Places for the event are being snapped up fast – so if you haven’t booked yours, go to our website at https://afcconferenceuk.com/assetfinanceconnect2024/en/page/book-now

Kindly supported by


Headline Sponsor	Platinum Sponsor	Gold Sponsor	Silver Sponsor

Silver Sponsor	Fintech Innovator Sponsor	Registration & Refreshment Sponsor	Sponsor

Sponsor	Exhibitor	Exhibitor	Data and Insights Partner – Automotive

Legal Partner