In a recent report examining the adoption of cloud-based technology by financial institutions, global consulting giant Capgemini found that, though C-level executives understand that AI and other emerging technologies are crucial for reaping the efficiency benefits a cloud-based ecosystem could deliver, many are falling behind in their implementation of automation-related tech.
While most leaders polled in the study think AI (81 percent), predictive analytics (75 percent and robotic process automation (65 percent) are necessary technologies moving forward, only 15 percent of those businesses display “capability maturity” in AI, along with 30 percent in predictive analytics and 22 percent in RPA.
Capgemini’s World Cloud Report for Financial Services 2025 says trying to integrate these technologies on an ad hoc basis into the highly regulated environment of banking is creating difficult challenges. Notably, the report says, more than two-thirds of financial services industry executives are concerned about siloed legacy systems, protecting customer data, and poor data quality, all of which are foundational to effectively implementing AI.
“Cloud adoption should be viewed as the start of a transformative journey that fuels long-term business growth, rather than the end game or destination. What’s clear from our research is that while the technology is seen by financial institutions as a building block, some firms still consider cloud a cost-saving measure, whereas innovative disruptors leverage it to redefine their operations,” said Ravi Khokhar, global head of cloud for Financial Services at Capgemini. “By taking a cloud native approach to foster a culture of innovation, banks and insurers will be better placed to deliver new products and services, enter new markets, and increase customer satisfaction. With generative AI now top of the boardroom agenda, a cloud-based technology foundation can also help the industry maximize investment in new technologies at scale.”
