Raymond James Financial adopts knowledge graphs for AI agents
SiliconANGLE: Knowledge graphs fuel AI innovation for financial services at Raymond James Financial
Knowledge graphs are becoming a critical context and reasoning layer for agentic AI, helping enterprises connect data and ground agents in key areas of business expertise. For diversified financial services companies such as Raymond James Financial Inc., graph technologies have become an important part of developing trustworthy infrastructure to support AI. The technology has been […] The post Knowledge graphs fuel AI innovation for financial services at Raymond James Financial appeared fi
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Knowledge graphs are technology systems that map relationships and business context within data, and they are becoming important for AI agents that need to reason effectively across an organization's information. In financial services, accuracy is critical, so knowledge graphs help verify that AI-generated results match trusted data sources before deployment. This technology enables financial advisors to query information dynamically rather than relying on fixed dashboards, potentially freeing them to spend more time on analysis. The implementation also changes internal operations by shifting workforce skills from performing routine tasks to managing and overseeing AI agents that handle those tasks.
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