Compounding high costs of bad data are the opportunity losses banks risk with slow efforts to scale their Data Analytics function. Not as a set of discrete projects, data analytics must evolve into an actual business discipline. The imperatives to do so are the twin... View
In the recent times, microservice architecture, or simply microservices, has become quite popular. To put it into simple terms, microservices is a characteristic method of developing software systems and applications as a suite of independently deployable, small,... 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 […]