Machine learning system development and service operation
News media Emerging Tech Brew said it is paying attention to MLOps among corporate executives.
MLOps supports stable product and service launch by integrating data management, machine learning system development, and service operation.
It pursues rapid and flexible development and can help improve corporate operational efficiency.
Diego Oppenheimer, managing director of MLOps at DataRobot, a Boston software company, said,
MLOps brings everything together. You can run machine learning without MLOps
MLOps is required for large-scale machine learning operations.
An enterprise that is considered one of the two major MLOps mountains along with a data robot
Clemens Mewald, director of machine learning and data science research at Databricks, said,
MLOps can only enjoy its value if it wants to use DevOps, DataOps, and ModelOps together.
For this reason, MLOps development and utilization are difficult.
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