Oracle Purchase Adds Data Science Platform to the Oracle Cloud

Oracle has signed an agreement to acquire, whose platform centralizes data science tools, projects and infrastructure in a fully-governed workspace.

Data science teams use the platform to organize work, easily access data and computing resources, and execute end-to-end model development workflows.

According to Oracle, leading organizations such as Amgen, Rio Tinto, and Sonos are using the platform to improve productivity, reduce operational costs and deploy machine learning solutions faster to power their digital transformations. helps data scientists to deliver the business-changing insights executives expect in less time with self-service access to open source tools, data, and computing resources, while also improving the ability of IT teams to support that work.

Oracle embeds artificial intelligence (AI) and machine learning capabilities across its software as a service (SaaS) and platform as a service (PaaS) solutions, including big data, analytics, and security operations, to enable digital transformations. Together, Oracle says, the two companies will provide customers with a single data science platform that leverages Oracle Cloud Infrastructure and the breadth of Oracle's integrated SaaS and PaaS offerings to help them realize the full potential of machine learning.

Organizations are exploring data science and machine learning as a key way to proactively develop competitive advantage, but the lack of comprehensive tooling and integrated machine learning capabilities can cause these projects to fall short, said Amit Zavery, EVP, Oracle Cloud Platform, Oracle. Together, he noted, Oracle and will help organizations harness a single data science platform to more effectively leverage machine learning and big data for predictive analysis and better business results.

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