The wealth management industry stands at a pivotal juncture. As we’ve explored in our series, the challenges are manifold, but so are the opportunities. The key lies in harnessing the power of personalization, not as a mere buzzword but as a strategic... View
The Promise and the Pitfalls The term “hyper-personalization” has become a buzzword in the wealth management industry. As highlighted in our previous blog, the sector’s rapidly changing landscape necessitates a shift towards more tailored client... View
The Quest for Personalization Excellence In the realm of wealth management, the demand for personalized client experiences has never been higher. As we’ve explored in our previous blogs (Blog1 and Blog2), the industry’s landscape is rapidly evolving, and... View
The Current Landscape of Wealth Management: A Call for Change The wealth management industry is at a pivotal juncture. With the political, social, and economic landscapes undergoing significant transformations, the sector faces challenges that demand innovative... View
In the fast-evolving landscape of banking, customer loyalty has been facing challenges. Traditional banks are grappling with increasing competition from fintech companies that excel in providing a superior customer experience in fintech. To stay competitive, banks... 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 […]