Why Most AI Projects Fail: The Data Engineering Gaps Companies Overlook
Many companies are investing heavily in artificial intelligence, expecting it to quickly improve efficiency, automate processes, and create new business opportunities. However, a large number of AI projects fail to deliver real value. The problem is often not the AI models themselves but the data engineering foundations that support them.