In the last few years, the roles of AI and machine learning (ML) in mainstream enterprises have changed. Once research or advanced-development activities, they now provide an important foundation for production systems. As more enterprises seek to transform their businesses with AI and ML, more and more people are talking about MLOps. If you have been listening to these conversations…
]]>Editor’s Note: Get notified and be the first to download our real-world blueprint once it’s available. This is the third installment in a series describing an end-to-end blueprint for predicting customer churn. In previous installments, we’ve discussed some of the challenges of machine learning systems that don’t appear until you get to production: In the first installment…
]]>Editor’s Note: Get notified and be the first to download our real-world blueprint once it’s available. Machine learning techniques attract a great deal of popular attention: it isn’t difficult to find articles explaining how to extract features or train models. But the end-to-end discovery process that produces a usable machine learning system consists of more than mere techniques.
]]>Editor’s Note: Get notified and be the first to download our real-world blueprint once it’s available. If you want to solve a particular kind of business problem with machine learning, you’ll likely have no trouble finding a tutorial showing you how to extract features and train a model. However, building machine learning systems isn’t just about training models or even about finding the best…
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