Oracle recently made available its Cloud Data Science Platform. At the core is Oracle Cloud Infrastructure Data Science, helping enterprises to collaboratively build, train, manage and deploy machine learning models to increase the success of data science projects.

Unlike other data science products that focus on individual data scientists, Oracle Cloud Infrastructure Data Science is said to help improve the effectiveness of data science teams with capabilities like shared projects, model catalogs, team security policies, reproducibility and auditability. Oracle Cloud Infrastructure Data Science automatically selects the most optimal training datasets through AutoML algorithm selection and tuning, model evaluation and model explanation.

Greg Pavlik, senior vice president product development, Oracle Data and AI Services, said: “With Oracle Cloud Infrastructure Data Science, we’re improving the productivity of individual data scientists by automating their entire workflow and adding strong team support for collaboration to help ensure that data science projects deliver real value to businesses.”

The Oracle Cloud Data Science Platform includes seven new services to deliver an end-to-end experience designed to accelerate and improve data science results: Oracle Cloud Infrastructure Data Science, Powerful New Machine Learning Capabilities in Oracle Autonomous Database, Oracle Cloud Infrastructure Data Catalog, Oracle Big Data Service, Oracle Cloud SQL, Oracle Cloud Infrastructure Data Flow, and Oracle Cloud Infrastructure Virtual Machines for Data Science.