Without the right data architecture, most AI initiatives falter in production, plagued by hallucinations, siloed insights, and regulatory pitfalls. This is where knowledge graphs and graph databases step in as the critical enabler, transforming fragmented data into interconnected, context-rich networks that fuel precise, explainable AI.
