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

  • 7 March 2024

    The future of risk management in banking – navigating transformational change

    Over the past decade, risk management within the banking sector has undergone a seismic shift, catalysed by the aftermath of [...]

  • 6 March 2024

    Six structural trends shaping the future of Bank Risk Management 

    The landscape of bank risk management is constantly evolving, shaped by a myriad of factors including regulatory changes, technological advancements [...]

  • 6 March 2024

    Enabling Polish exporters – a conversation with KUKE’s CEO

    The importance of SME initiatives The Wiserfunding team had the pleasure of welcoming the KUKE team to our office last [...]