>>The deployment of AI requires more than just speed

Despite the massive investments in artificial intelligence, the vast majority of generative AI systems fail to deliver measurable results. The problem does not lie in the algorithms themselves, but in the lack of operational maturity: weak data governance, insufficient model monitoring, absence of ethical oversight, and limited integration into real workflows. 

The full potential of AI depends not only on the technology itself, but on what is known as operational excellence. Key factors include data quality, appropriate infrastructure, and workforce expertise. In practice, it seems that the rapid adoption of AI does not necessarily lead to its beneficial application.