Lenders now have a set of technologies and data sets at their disposal that can be deployed throughout the lending process, to help them make better and faster credit decisions.

Indeed, in the midst of today’s data economy – made up of a multitude of personal and unstructured data – increasingly popular technologies, such as artificial intelligence (AI), are being used to support data acquisition, analysis and decision-making processes for all kinds of creditors; whether they are well-established institutions, fintechs, challenger banks or even non-banks offering credit products.

By deploying AI to automate specific stages of the credit lifecycle from inception to maturity, such as document collection and risk assessment, institutions can not only reduce the administrative burden on their front. , middle and back-office, but they can also provide customers with a high-end and more efficient product.

Considering the short term and impact of Covid-19, the medium term, as well as the next 10-15 years, this webinar explores not only the potential of digitization for the credit industry and its beneficiaries, but the obstacles that must be overcome to promote automation.

This Finextra webinar, in association with Moody’s Analytics, covers:

• How Creditors Can Streamline the Lending Process
• The automation journeys that many creditors are currently going through
• The different stages of the credit life cycle that can be increased with AI
• How the credit industry can be impacted by digitization in the short, medium and long term

Speakers include:

• Gary Wright – Research manager, Finextra [Moderator]
• Nelson almeida – Director, Technology Specialist, Moody’s Analytics