According to a recent press release, “Oracle today announced the availability of the Oracle 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 helps 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.”

The release goes on, “Today, organizations realize only a fraction of the enormous transformational potential of data because data science teams don’t have easy access to the right data and tools to build and deploy effective machine learning models. The net result is that models take too long to develop, don’t always meet enterprise requirements for accuracy and robustness and too frequently never make it into production. ‘Effective machine learning models are the foundation of successful data science projects, but the volume and variety of data facing enterprises can stall these initiatives before they ever get off the ground,’ said Greg Pavlik, senior vice president product development, Oracle Data and AI Services. ‘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’.”

Read more at oracle.com.

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