The European banking sector is changing rapidly as institutions move away from legacy systems and adopt flexible, cloud-based platforms for retail and corporate banking needs. This core banking transformation is essential to meet shifting customer demands and keep... View
As digital experiences define a company’s reputation, quality engineering services are critical for building customer trust. Glitchy software, security breaches, and frustrating user experiences can quickly erode brand loyalty and undermine business growth. This... View
By 2024, 90% of banks and financial institutions globally are expected to adopt cloud computing as a critical component of their digital transformation strategy. This staggering statistic underscores the transformative impact of cloud computing on the banking and... View
As of 2024, over 80% of leading financial institutions have adopted or are implementing financial data lakes to revolutionize their data management strategies. This significant statistic underscores the pivotal role of financial data lakes in enabling banks to... View
By 2024, digital platforms are projected to manage over 35% of global wealth, signaling a transformative shift in wealth management practices. This statistic underscores the critical importance of digital wealth management platforms for banks aiming to stay... 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 […]