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

The latest KDnuggets poll reconfirms today's dire industry buzz: Very few machine learning models actually get deployed. In this article, I'll summarize the poll results and argue that this pervasive failure of ML projects comes from a lack of prudent leadership. I'll also argue that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail. Considering the growing chatter about ML's failure to launch, there's been relatively little concrete industry research – especially when it comes to surveys on model deployment in particular rather than ROI in general – so I proposed this poll to Gregory Piatetsky and Matthew Mayo of KDnuggets. They helped me formulate and wordsmith it.