Oracle expands autonomous capabilities across cloud platform

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Oracle expands autonomous services across entire cloud PaaS platform, with AI and machine learning advances made beyond existing Autonomous Database.

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At Oracle OpenWorld 2017, Oracle launched what it claims to be the world’s first self-driving database, delivering full automation using machine learning without human intervention.

Now, the tech giant has confirmed that it is expanding this level of automation beyond the database to all other parts of its cloud platform, making its platform-as-a-service (PaaS) offerings self-driving, self-securing, and self-repairing.

Oracle's aim here is to use machine learning to automate some key enterprise IT functions such as tuning, backups and upgrades whilst delivering high performance and availability. This should provide customers with lower costs, reduced risks and easier access to making smarter decisions.

Read next: Oracle unveils 'self-driving' autonomous database cloud

Oracle will be specifically adding autonomous capabilities to application development, app and data integration and analytics products, focusing on automated patching and tuning.

Within application development, for example, this includes self-learning chatbots to automate repetitive tasks, self-defining data flows, automated data discovery and security management.

“The future of tomorrow’s successful enterprise IT organisation is in full end-to-end automation, at Oracle we are making this a reality,” Amit Zavery, EVP of Product development at Oracle Cloud said following the announcement.

According to Zavery, the decision to make all services autonomous was made to help customers safeguard their systems and drive innovation faster.

Read next: The biggest announcements from Oracle OpenWorld 2017

These autonomous capabilities will be made available in the second quarter of 2018.

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