The AI imperative: Navigating AI & data for SME banking success
In a world where artificial intelligence and machine learning (AI/ML) are redefining industries, our report delves into the transformative potential of these technologies in the SME Banking sector.
In partnership with
Amazon Web Services
AWS is a pioneer at the intersection of financial services and cloud technology, enabling our customers to optimize operations and accelerate growth through the broadest set of services and partner solutions all while adapting to everchanging regulations.
Small and medium-sized enterprises (SMEs) account for 99% of all businesses in both the EU and the US. Despite their significance, many banks have struggled to fully tap into the opportunities presented by this market due to economic challenges, limited resources, and outdated infrastructures. SMEs typically have specific and complex needs, often requiring personalized service and dedicated relationship management. Historically, delivering this level of service at scale has been difficult for banks. Additionally, SMEs often face higher risks due to their limited balance sheet strength and short credit histories, making it harder for them to secure financing.
The International Finance Corporation estimates that 40% of micro, small, and medium-sized enterprises are credit-constrained, with a global financing gap of approximately $5.7 trillion. This presents a substantial opportunity for banks that can better meet the needs of SMEs, as this segment tends to demonstrate strong loyalty and can offer improved margins.
Advancements in technology, particularly in data analytics, artificial intelligence, machine learning, and generative AI, offer banks new tools to address these challenges. Last year, AWS and Qorus highlighted this potential in their co-authored report, "The AI Imperative: The Future of Frictionless Banking," which revealed that global banks are at a tipping point in adopting AI/ML and generative AI technologies. These advancements are being implemented to enhance customer service, manage risk, optimize processes, and improve overall efficiency. While much of this innovation has focused on retail banking, the SME market is now emerging as a key area of interest.
To explore the potential impact of these intelligent applications on SME banking, we conducted interviews with leading SME banks. In the following pages, we will share insights into the latest trends, best practices, and real-world applications of AI technologies, offering a roadmap for the future of SME banking. We hope this study serves as a valuable resource for understanding how AI can transform the SME banking landscape by driving efficiency, fostering innovation, and delivering exceptional value to customers.
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