This whitepaper outlines the challenge of productionizing ML, explains some best practices, and presents solutions. Thoughtworks introduces the idea of MLOps as continuous delivery for machine learning. The rest of the whitepaper details solutions from AWS and other partners.
In this webinar, Randy DeFauw from Amazon Web Services and Eric Nagler from Thoughtworks will talk about how MLOps and CD4ML combine the creative process of data scientists with software engineering methods. In addition, our experts will use customer examples to show you how you can put ML products into practice safely, quickly and sustainably.
In order to tackle the challenges in bringing ML to production, Thoughtworks has developed continuous delivery for machine learning (CD4ML), an approach to realize MLOps. In 2016, Thoughtworks built a price recommendation engine with CD4ML on AWS for AutoScout24, the largest online car marketplace in Europe. Find out more about this project.