Gist: The content argues that AI projects fail mainly because of weak data engineering, not weak models. It positions unified data pipelines, quality, governance, and scale as prerequisites for reliable AI outcomes.
Signal reason: The article reinforces a broader positioning that strong data engineering is essential for successful AI.
