Competence: Data Science Workflow Level: Recommended

“No machine learning model is valuable, unless it’s deployed to production.” – Luigi Patruno

Machine learning models can only generate value for organizations when the insights from those models are delivered to end users. Who the end user is can vary: recommender systems in e-commerce suggest products to shoppers while advertisement click predictions feed software systems that serve ads. But either way ML projects can only be successful after a model has been deployed and its predictions are being served.