In the recent “Code and Capital” video series by Finovate, Gabriele Sabato, co-founder and CEO of Wiserfunding, explored the transformative impact of AI on credit risk management, highlighting advancements in assessment accuracy and the challenges of integrating AI into financial institutions.
In today’s volatile economy, AI’s role in credit risk is crucial for quick and accurate decision-making, particularly for SME lenders requiring precise assessments. Let’s explore the key takeaways from Gabriele that are especially important to consider.
AI has evolved to process unstructured data: Recent advancements in AI have enabled it to interpret unstructured data, such as text and images, which were previously challenging to analyse. This capability leads to more comprehensive and accurate credit risk assessments.
AI-driven solutions provide a competitive edge: AI automates data processing and analysis, speeding up and refining the credit assessment process, which helps institutions stay ahead in a fast-changing market and make smarter lending decisions more quickly.
At Wiserfunding, AI accelerates the transformation of large volumes of data into actionable insights, improving credit risk assessments and helping SME lenders stay ahead in a rapidly evolving market.
Watch the complete interview here:
SIMILAR POSTS
17 December 2021
Four Themes and a Notable Absence from Risk Minds 2021
After years of virtual conferences & the looming threat of the omicron variant, we weren't t sure what to expect [...]
26 October 2021
Z-score vs minimum variance preselection methods for constructing small portfolios
Several contributions in the literature argue that a significant in-sample risk reduction can be obtained by investing in a relatively [...]
The Credit Cycle Outlook
The good times are gone. As public markets wrestle with a perfect storm of macroeconomic risks and difficult national and [...]
