The world is changing at an unprecedented pace and it has its impact for the banking industry as well. Only 44% of customers report satisfaction with their banking experience. The World Economic Forum predicts 85 million jobs may be displaced by 2025 due to evolving... View
With customer experience reigning supreme, the banking sector is at a critical juncture. A recent study by J.D. Power reveals that only 44% of banking customers feel their financial institutions are meeting their expectations. This stark reality underscores the urgent... View
The banking industry is undergoing a significant transformation, with customer onboarding emerging as a crucial focal point. Traditional onboarding processes, especially for corporate clients, have been characterized by prolonged timelines, complexity, and... View
In a startling revelation, a recent McKinsey report found that only 16% of digital transformation initiatives in the banking sector fully succeed in improving performance and equipping them to sustain changes in the long term. While agile methodologies are a critical... View
In an era of rapid technological advancement, tokenization has emerged as a transformative force, fundamentally reshaping our perception and management of assets. This innovative process is not merely an incremental improvement; it represents a seismic shift in 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 […]