MLOps: Bridging the Gap Between Machine Learning and Operations

In an era defined on innovation with a trends for data driven technologies, machine learning deployment into production ready to use interface become a worldwide business concern. In this landscape MLOps bridge the gap between ML lifecycle and deployment on devices ( web, mobiles, etc ) offering a set of best practices to streamline AI apps. In this article, we will discuss what is MLOps and why this methodology attract attention these recent years ? What is MLOps? Machine Learning operation is a discipline focused on ML process standardisation to improve data science, data engineers and data experts collaborations. Much like DevOps change the development of software by collaboration thinking, continuous integration and deployment to optimise delivery, MLOPs is here to improve the ML field. <a href="https://medium.datadriveninvestor.com/mlops-bridging-the-gap-between-machine-learning-and-operations-af0bb06569b">Read More</a>