New service makes it quick and easy for data science teams to collaboratively build and deploy powerful machine learning models.

New Python support for machine learning algorithms within the Oracle Autonomous Database reduces the need to move data.

Seven new services, including new data catalog, to discover, find, organize, enrich and create data assets; new big data service delivers a full Cloudera Hadoop implementation; new service provides SQL access to HDFS; new fully managed service to run Apache Spark applications.

“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.”

With Oracle Cloud Infrastructure Data Science, organizations can accelerate successful model deployment and produce enterprise-grade results and performance for predictive analytics to drive positive business outcomes.