The year 2023 marked the first failure of a globally systematic important Financial institution (G-SIB) post the financial crisis 2008. This was preceded and succeeded by the collapse of other US Financial institutions. Coupled with the geopolitical tensions due to... View
While regulators continue to demand newer data and increased data granularity, we also see regulation getting progressively more tech-mature. The regulators are gearing to digitize the regulations so that implementation can be validated at the granular level; also,... View
Regulators have continued to focus on using technology, particularly digitizing reporting requirements and building data analytics systems, to analyze the now vast amounts of structured and unstructured data coming to them. Regulators are taking this forward and... View
As Regulatory compliance and reporting obligations continue to increase in volume, scale, intensity, and complexity in terms of jurisdictional differences and evolving supervisory expectations, it is also apparent that Financial institutions are and will continue to... View
In the constantly evolving corporate banking world, digital transformation is the clear difference. With the increasing reliance on technology, banks see the need to go digital and stay competitive. This article delves into the strategies to help banks make the most... View
Regression testing in banking often presents an uncomfortable tradeoff. Run the full suite and feedback may arrive too late. Run a reduced suite and teams may worry that the wrong scenario was excluded. The root problem is not always execution capacity. It is weak selection intelligence. Static regression packs were built for a more predictable […]
Release velocity is visible. Release confidence is harder to measure. A bank can reduce build time, automate deployment, and execute thousands of tests, yet still hesitate at the final release decision. The remaining uncertainty often concerns what the metrics do not reveal: untested dependencies, incomplete business scenarios, recurrent defect hotspots, or critical knowledge that never […]
Many banks have spent years expanding test automation. Yet release decisions can still involve lengthy reviews, oversized regression packs, manual impact analysis, and calls to the same subject matter experts. That is not evidence that automation failed. It is evidence that the problem changed. AI-first banking introduces faster change across increasingly connected systems. The quality […]