Picture this: A major airline’s check-in system crashes for 45 minutes. The result? Over 100 flight cancellations, thousands of stranded passengers, and a staggering $6.5 million in losses. This real-world scenario underscores a stark reality: software failure... View
The financial services industry is experiencing a transformative period marked by rapid technological advancements. Traditional banks are now confronted with the pressing need to adapt to the swift innovations introduced by fintech companies. While established banks... View
The financial sector is grappling with a formidable adversary: Authorized Push Payment (APP) fraud. This sophisticated financial deception has swiftly become the biggest threat to banks and their customers. Projections indicate that losses from APP fraud could reach... 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
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 […]