Buy-side firms warn semantic layers not a quick fix for AI integration
Semantic layers promise to teach AI what a firm’s data means. Keeping that meaning current is the part that may get overlooked, tech heads warn.
Turning a firm’s own datasets into something artificial intelligence can use has long flummoxed banks and asset managers. That challenge has only been exacerbated with the introduction of agentic AI. This is why building a semantic layer that can translate those data structures into something that a machine can more easily understand is becoming increasingly popular.
BlackRock, for example, is prioritizing ontology and a semantic layer in its application of agentic AI, said Cameron Skinner
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