Machine learning models that take months to construct may never make it into production. Key challenges such as infrastructure, speed and scales along with continuous model accuracy are hindering successful deployment. MLOps, a practice for collaboration and communication between data scientists and operations professionals to help manage the production machine learning lifecycle, will become an IT imperative in 2020 to simplify the integration of AI workloads with the organization’s core infrastructure which will accelerate machine learning deployment and enable enterprises to more readily experience the business benefits of machine learning models.
