In the ever-evolving landscape of financial services, data reigns supreme. Harnessing the power of data is not just an option; it’s a strategic imperative for banks looking to thrive in the digital era. Enter the Enterprise Data Warehouse (EDW), a robust... View
In our time when digital advancements dominate, the landscape of retail banking is undergoing a profound transformation, with a primary focus on fostering financial inclusion and accessibility. As financial institutions increasingly embrace the winds of change, the... View
In the dynamic landscape of corporate banking, the quest for staying competitive has become synonymous with embracing technological innovations. Corporate banks worldwide are leveraging cutting-edge solutions to enhance the customer experience, drive corporate banking... View
In today’s ever-evolving financial landscape, the power of a relationship-first philosophy in BankTech cannot be underestimated. Building and nurturing holistic relationships with technology providers can bring immense strategic and tactical advantages to... View
The financial industry is profoundly transforming in today’s fast-paced and digital-driven world. Customer expectations are evolving rapidly, demanding seamless and convenient experiences across various channels. In this 800-word blog, we will delve into the... 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 […]