Chief information officers (CIOs) and their teams at leading FIs are busy embracing the next primary phase of digital transformation. Unsurprisingly, C-Suite bankers foresee and prepare for the “new normal” environments, such as remote working,... View
Flipping the odds for digital transformation success in the Banking and Fintech industry depends on customer experience. An influential study that dissects digital transformation success pegs banking as having the second highest rate after Telecom, Media, and Tech... View
One of the more sober subsets of the financial services sector – the wealth management industry – has been majorly impacted by the AI edge. From automating routine tasks for increased efficiency and cost savings, wealth investment firms are creating new use cases for... View
What does the current landscape look like for Retail Banking? Firstly, the post-pandemic retail banking industry is moving out of a climate of muted financial performance. Secondly, with common enablers of open hybrid or multi-cloud solutions, banks embrace Data &... View
In a recent study, the average costs of data breaches continue to climb alarmingly. The research by the Ponemon institute reports that it has increased from 2.6% [USD 4.24 million in 2021] to USD 4.35 million in 2022. On the one hand, it is easy to confuse that data... 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 […]