How Optimizing MLOps can Revolutionize Enterprise AI

Machine learning has now entered its business heyday. Almost half of CIOs were predicted to have implemented AI by 2020, a number that is expected to grow significantly in the next five years. Because creating a machine learning model and putting it into operation in an enterprise environment are two very different things. The biggest challenge for companies looking to use AI is operationalizing machine learning, the same way DevOps operationalized software development in the 2000's. Simplifying the data science workflow by providing necessary architecture and automating feature serving with feature stores are two of the most important ways to make machine learning easy, accurate, and fast at scale.