When building an Enterprise AI strategy that is fit to carry the business through economic highs and lows, its critical to have systems for monitoring models in production and to be able to quickly introduce, test, train, and implement new models in order to shift strategies or adapt to changing environments. Enter MLOps.

Model-based machine learning and AI is rapidly becoming a mainstream technology in all large enterprises. To reap the full benefit, models need to be put into production; but doing so at scale presents new challenges. Existing DevOps and DataOps expertise is not enough, as the fundamental challenges with managing machine learning models in production are different.

That’s where MLOps, which is the standardization and streamlining of machine learning lifecycle management, comes in.

Join Dataiku and a select group of your peers as we discuss the challenges and solutions for production AI projects, explore how data and IT teams can collaborate in production and discover why MLOps is the next frontier for data leaders.