Cloudera Issues Call to Define Open Standards for Machine Learning CDOTrends

Enterprise cloud data firm Cloudera has issued a call for industry participation to help define universal open standards for machine learning operations (MLOps) and machine learning model governance. MLOps revolves around implementing machine-learning in production, notably around the infrastructure and tooling needed to deploy machine-learning algorithms and data pipelines reliably and at scale. By leveraging the community, Cloudera hopes to help companies make the most of their machine learning platforms and pave the way forward for the future of MLOps. The challenge of deploying and governing machine learning models at scale needs to be addressed at the industry level, says Doug Cutting, the chief architect at Cloudera. He pointed to Apache Atlas as being the best-positioned framework to integrate data management for explainable, interoperable and reproducible MLOps workflows.