For our eleventh episode, we’re delighted to be joined by Giovanni Oppenheim, Director of Banking Solution, at Earnix. Earnix has a highly esteemed reputation in Insurance, and across the last seven years has made great strides in Banking,with a focus on pricing and personalization software.

Our conversation covers key challenges for incumbent lenders, what role different types of AI technology can play in addressing financial inclusion, decisioning,personalized pricing, competition from Buy Now, Pay Later (BNPL) and delivering key tenets within Consumer Duty in the UK. We also cover key forward lookingtrends around financial inclusion and fairness in lending.

Time stamps as follows:

0:00-05:00 – Introductions and Set Up

05:00 – Where is AI most effective in reshaping lending activities?

07:00 – What examples have we seen in Co-pilots Vs Gen AI for synthetic data?

08:30 – Examples of live Earnix case studies in Banking

09:30 – Metrics used to quantify AI improvements in lending

11:30 – How can AI assist financial inclusion

14:30 – How does incumbent bank credit approvals compare to BNPL providers

16:50 – Best examples of inclusive finance using Gen AI

20:00 – Best examples of Gen AI within Consumer Duty

23:30 – AI to manage credit risk amid increased uncertainty

27:00 – AI to increase agility and flexibility

28:00 – Conclusion and Wrap-Up