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Oracle bolsters AI and ML capability with DataScience.com acquisition

17 May 2018

Oracle has signed an agreement to acquire DataScience.com, a company whose platform provides centralised data science tools, projects and infrastructure in a fully-governed workspace.

The platform is designed to be used by data scientists to organise work, easily access data and computing resources, and execute end-to-end model development workflows.

The purpose of the platform is to enable data scientists to deliver business-changing insights, 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 says it improves productivity, reduces operational costs and deploys machine learning solutions to power users’ digital transformation initiatives.

The company currently counts Rio Tinto, Amgen and Sonos amongst its user base.

DataScience.com CEO Ian Swanson says, “data science requires a comprehensive platform to simplify operations and deliver value at scale.

“With DataScience.com, customers leverage a robust, easy-to-use platform that removes barriers to deploying valuable machine learning models in production. We are extremely enthusiastic about joining forces with Oracle’s leading cloud platform so customers can realise the benefits of their investments in data science.”

According to Oracle, the acquisition will allow them to 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 realise the full potential of machine learning.

It’s also an important addition to the company’s overall AI and ML capabilities, which it currently uses 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.

Oracle Cloud Platform executive vice president Amit Zavery says, “Every organisation is now 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.

“With the combination of Oracle and DataScience.com, customers will be able to harness a single data science platform to more effectively leverage machine learning and big data for predictive analysis and improved business results.”

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