Why Knowledge Graph Projects Fail — and How to Make Them Succeed

AI Summary

Knowledge graph projects frequently fail at a much higher rate than they succeed, despite significant investment and effort. Common pitfalls include poor data quality, inadequate stakeholder alignment, unrealistic scope, and lack of clear business value, though these failures can be mitigated through better planning and execution strategies.