Why do some artificial intelligence implementations fail despite significant investments?

Many organizations invest in AI hoping for quick productivity gains. Yet many projects deliver disappointing results because the knowledge, data, procedures, and content the AI relies on are disorganized, incomplete, or hard to use. The quality of the results depends directly on the quality of the information provided to intelligent systems.