87% of the Data science projects don't make it to production as published by VentureBeat. With the amount of time, resources, and infrastructure being spent on machine learning to get the projects into production, organizations are more invested than ever to get their MLOps right.
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. They will also unpack techniques and practices to help ensure AI is not just capable of delivering a return on investment but also contributes to the organization’s strategy and innovation portfolio.