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

  • wiserfund

    23 June 2023

    BNPL Affordability for SME Lenders

    BNPL Affordability for SME Lenders With Buy Now, Pay Later (BNPL) regulation on the horizon in the UK, the concept of borrower [...]

  • Wiserfunding Export Finance Blog post

    13 December 2022

    Wiserfunding and Cardo AI partner to transform credit analytics in the private debt market

    Wiserfunding and Cardo AI partner to transform credit analytics in the private debt market We are excited to announce our [...]

  • 5 December 2022

    Wiserfunding and Defyca partner to bring SME debt funding on-chain

      At Wiserfunding, our mission is to address the $5.4tn SME (Small and Medium Enterprise) funding gap by empowering lenders [...]