The Sequence Scope: Databricks’ New ML Announcements

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📝 Editorial: Databricks’ New ML Announcements

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.

Databricks’ ML announcements are about what Databricks does well: scalability and operational management. MLflow 2.0 was the highlight of the new releases, with capabilities that streamline the management of ML models’…