Unstructured data represents 80-90% of the world’s data, according to MIT’s Sloan School of Management. While this data source holds valuable insights, it has historically been almost impossible for financial institutions to use it to their advantage…until recently. Learn why unstructured data is the most valuable resource you didn’t know you had.

Robotic Process Automation (RPA) has been a foundational tool for financial institutions looking to automate repetitive, rule-based processes. By replicating routine tasks, RPA has delivered significant efficiency gains and cost savings, particularly in areas like transaction processing, compliance reporting, and customer service. However, as the financial landscape evolves with more complex data workflows and dynamic decision-making requirements, RPA’s limitations are becoming increasingly evident. To stay ahead, financial institutions must address these gaps and embrace advanced automation solutions that go beyond basic task execution.

The financial services industry is poised to benefit greatly from the rise of artificial intelligence and data reasoning. Due to the prevalence of raw data available to this sector, automation should be at the forefront of every company’s strategy in 2025.

AI is rapidly transforming the financial services industry, but how do you pinpoint the opportunities best suited for it? Explore our simple framework that will help guide your decision-making process and uncover key considerations for success.