Oracle seeks to dominate machine learning in the cloud. With its recent acquisition of DataScience.com, Oracle has added a critical missing component to its portfolio of machine learning solutions in the cloud. With the Oracle Data Science Platform, teams can leverage the three most common open source notebooks (Jupyter, Zeppelin, R Studio) and seamlessly provision and instantiate their own customized machine learning environments. At the same time, it provides the standardization and controls that enterprises need. The platform also makes it easy to put models into production by offering visual tools to create APIs with automatic load balancing. By combining one of the most promising startups in the notebook-based PAML space with its own related offerings for infrastructure, data management, third-party data sources, BI, and a suite of business applications, Oracle is instantly a force to be reckoned with in the PAML market.
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