Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership

In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail.

2022 jan opinions deployment failure industry leadership learning machine machine learning