Seventy-five percent of retail banks report that regulatory compliance is their most significant challenge in achieving growth, according to a recent industry survey. This statistic underscores the critical importance of effectively navigating the complex regulatory... View
In 2024, 75% of banking executives identified quality engineering services as critical to their success in digital transformation. This statistic underscores these services’ pivotal role in ensuring that digital initiatives within banks not only meet but exceed... View
As we navigate through 2024, the imperative for banks to undergo digital transformation has never been more critical. The financial sector’s landscape is rapidly evolving, driven by changing consumer expectations, technological advancements, and heightened... View
How can banks not just survive but thrive in the digital era? The answer lies in mastering digital operations management, a critical domain that has become the linchpin for financial institutions aiming to excel in the digital age. This strategic imperative extends... View
Is the future of global commerce being rewritten by corporate banking solutions in 2024? Indeed, this year marks a pivotal moment in the digital transformation journey, with innovative technologies and strategic banking services reshaping the corporate banking... View
Regional banks are not behind on AI in software delivery. They are ahead. The real question is whether test automation moved with them. Most bank technology leaders have this backwards. The assumption, understandably, is that regional banks and credit unions are playing catch-up on AI, that megabanks with larger technology budgets are further along. The […]
Development moved faster this year. Most quality engineering functions did not move with it. Here is how to tell if yours is one of them. Ask most CIOs, CTOs, and Heads of Engineering at regional and challenger banks whether their development teams got faster this year, and the answer comes quickly: yes, obviously. Ask the […]
Banks increasingly consume AI through vendor APIs, SaaS platforms, cloud services, and embedded features. Proprietary architecture can limit visibility, but it does not transfer accountability. SR 26-2 states that model risk principles remain applicable to vendor products and calls for institution-specific understanding, validation, monitoring, and outcome analysis. A vendor model card is an input to […]