Despite AI's rapid advancement, organizations still face persistent challenges in implementation, data quality, and real-world deployment

AI technology has become widely available, but the fundamental difficulties of integrating it into existing systems remain largely unresolved

Data preparation, model validation, and ensuring practical business value continue to be major obstacles organizations encounter

The gap between AI capability and actual organizational readiness suggests that technical progress alone doesn't solve implementation challenges