The Knowledge Graph Calculus: Financial Institutions Views on ROI
KGC 2026
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1h 3m
"https://drive.google.com/file/d/1hOTo6TMxTcq0bs8YjfIAEHnzA7fN8yyn/view?usp=share_link
Few industries have more pressure to get data semantics right than financial services. Yet approaches vary wildly, from mature knowledge and context graph implementations to firms still debating whether the investment is justified..
The stakes just got higher. As AI strategies move from experiment to enterprise, knowledge graphs and the richer context graphs that extend them are emerging as the connective tissue that makes AI systems trustworthy and useful at scale. Firms that built semantic foundations for compliance are discovering they're ahead. Firms that didn't are asking whether this is finally the forcing function.
This panel surfaces the honest conversation. Practitioners at different stages of the journey discuss what they were trying to accomplish, how they approached it differently, and whether AI changes the calculus for those still deciding. The conversation focuses on tradeoffs and reasoning from firms who've lived it.
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