Databricks has been one of the companies that have been at the center of the big data movement, pioneering technologies such as Apache Spark. Machine learning (ML) has been a native component of Spark since the early days, and, as a result, Databricks, little by little, has become an important force in the ML space with stacks such as MLflow. Last week, at its Data + AI Summit, Databricks unveiled a series of new releases that significatively enhance the ML capabilities of its platform.
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