Multiple surveys report that 80% of modern investors prefer using mobile applications to monitor their investments and connect with advisors, and 40% of investors now demand digital access to their accounts. Moreover, while massive regulatory requirements pressure... View
The core banking services of a bank include accepting deposits and issuing loans, the control of monetary transactions, preserving account and account holder information, utilizing a database to connect all accounts and account holders, maintaining its own fixed and... View
Compared to other economic sectors, the financial industry has historically been at the cutting edge of innovation and technological development. Customers in today’s highly connected and digitalized society want to be able to access and manage their money... View
Since the advent of smartphones, the banking and financial industries have undergone a dramatic period of the digital revolution. Using mobile technology as a foundation, they’ve created streamlined banking services and perks for their customers. The Omnichannel... View
Customer analytics allows financial institutions to conduct more targeted sales and marketing, which in turn increases the likelihood of a transaction being made by your organization. Supporting upselling and cross-selling techniques, banking analytics helps... 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 […]