AI is reaching finance’s core systems: Here’s what it takes to run it there (www.techradar.com)

AI technology is increasingly penetrating the financial sector, yet only 10% of enterprises harness it effectively within core production systems, primarily due to the challenge of integrating AI with legacy architectures used for trading, risk, and surveillance. The article highlights that while legacy systems currently constrain AI’s potential, financial institutions are taking a strategic approach by introducing abstraction layers that unify access to fragmented systems. This method allows AI to function within established operations without overhauling existing infrastructures, enabling firms to realize the full benefits of AI through improved workflows and live interactions. As firms implement controlled AI interaction gateways, they can ensure compliance and operational reliability, transforming AI from a supportive tool to a central component in automation and decision-making processes. This layered architecture not only simplifies integration but also facilitates natural language processing and multimodal interactions, empowering organizations to innovate within trusted boundaries. Ultimately, as the financial sector evolves by building on top of existing systems rather than replacing them, it sets the stage for AI to deliver enhanced capabilities and operational efficiency, driving significant advancements in how financial services are delivered.