New IDC research shows that AI initiatives in banking are often slowed by fragmented data, infrastructure, and governance, creating barriers to realizing AI’s full potential.
Banks that succeed take a governance-led, hybrid approach. They improve data quality, connect mainframe and cloud environments, and modernize selectively without putting core systems or compliance at risk.
This is how banks make their existing infrastructure work for AI at scale.