Amazon.com: Introducing MLOps: How to Scale Machine Learning in the Enterprise: 9781492083290: Treveil, Mark, Omont, Nicolas, Stenac, Clément, Lefevre, Kenji, Phan, Du, Zentici, Joachim, Lavoillotte, Adrien, Miyazaki, Makoto, Heidmann, Lynn: Books

We've reached a turning point in the story of machine learning where the technology has moved from the realm of theory and academics and into the "real world"--that is, businesses providing all kinds of services and products to people across the globe. While this shift is exciting, it's also challenging, as it combines the complexities of machine learning models with the complexities of the modern organization. One difficulty, as organizations move from experimenting with machine learning to scaling it in production environments, is maintenance. How can companies go from managing just one model to managing tens, hundreds, or even thousands? This is not only where MLOps comes into play, but it's also where the aforementioned complexities, both on the technical and business sides, appear.