The financial advisory landscape is profoundly transformed, driven by technological revolutions, shifting client expectations, and an ever-changing regulatory environment. Financial advisors must embark on a relentless journey of skill enhancement and adaptation to... View
The landscape of Environmental, Social, and Governance (ESG) investments has undergone a seismic transformation in recent years, driven by an unprecedented surge in awareness of sustainability and ethical considerations within the financial realm. This paradigm shift... View
Demographic shifts catalyze a profound transformation of the rapidly evolving financial advisory landscape. As global population dynamics undergo unprecedented changes, financial advisors must swiftly adapt to meet their client’s diverse needs and evolving... View
The financial advisory landscape is witnessing a remarkable shift, with alternative assets projected to surge to $23.21 trillion in global assets under management by 2026, up from $13.32 trillion at the end of 2021. This dramatic growth underscores a pivotal change in... View
The COVID-19 pandemic pushed a global workforce to go remote, and Maveric, like many organizations, adapted swiftly to this new reality. While remote work offers flexibility and resilience, a growing body of evidence suggests that the limitations of virtual... 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 […]