Q&A: Why Platform Engineering May Be the Missing Link in Banking AI Success

Platform Engineering 2.0: your platform was built for a different era. AI just exposed it

The debate about whether enterprises need an internal platform is over. Google's 2025 DORA research found that 90 percent of organizations now report using an internal platform, and 76 percent have established dedicated platform teams. The question for IT leaders is no longer "should we build a platform?" It's "will the platform we've built survive what's coming?" The honest answer for most IT organizations is no - not without work. The platform…

Before chasing AI, Bank of America wants banks to fix their data first

A lot of the conversations around artificial intelligence tend to circle back to one question: which institution has built the smartest, most capable model? Bank of America argues the model quality isn’t the point; an AI feature is only as reliable as the data behind it. That reliability determines whether AI can be trusted to support decisions or should be kept out of high-stakes ones entirely.  Bank of America’s thinking on AI comes into focus…

Q&A: Why Platform Engineering May Be the Missing Link in Banking AI Success

Whether looking to accelerate productivity, increase efficiency or improve customer experiences, banks and financial institutions have a growing interest in artificial intelligence and its potential.  However, AI success isn’t guaranteed. While failing fast is a common approach to AI initiatives, banks have high stakes related to regulatory requirements, meaning that it’s important to ensure a secure, repeatable and scalable operating model for …