Oracle expands its autonomous technology across its cloud platform

Oracle said that it will expand the machine learning and autonomous capabilities in its Autonomous Database to its broader platform-as-a-service offerings.

At Oracle OpenWorld, CTO Larry Ellison outlined how the company's Autonomous Database can save on admin labor. Now Oracle is adding autonomous capabilities to data management, application development, integration, analytics, security and systems management.

Oracle preps autonomous database at OpenWorld, aims to cut labor, admin time | Oracle launches 18c, its autonomous database and automated cybersecurity system | OpenWorld 2017: What we learned about Oracle's AI, cloud strategies |

• Oracle CEO Mark Hurd: AI shouldn't be a standalone application
• Oracle demos 'adaptive intelligence' capabilities across clouds

Amit Zavery, executive vice president, product development, Oracle Cloud Platform, said autonomous technology will remove labor from the equation. "Autonomous will cover horizontal elements at first since we have understanding across broader usage patterns," said Zavery. "The machine learning and algos under the covers will make configurations company specific."

In a nutshell, Oracle Autonomous Cloud Platform will aim to automate patching, tuning and even data integration across its portfolio. Oracle's return on investment pitch is that its autonomous platform frees up technology talent for higher-value tasks.

Oracle is adding autonomous capabilities to key functions including:

• Data integration, which will automate ingestion, defining data flows, data prep and data lake creation. Oracle's core business, which revolves around moving and storing data, means that it can leverage experience to map integrations.
• Application development, which will benefit from using machine learning to automate frequent actions and coding. Spotting security issues will also be automated. Zavery said the key win with automating app development is time savings on coding.
• Analytics via automated data prep and discovery.
• App integration, which will leverage automated business processes and connect enterprise apps.
• System and identity management will automate manual monitoring and performance settings.

Tech Pro Research: System update policy | IT leader's guide to deep learning | Cloud migration decision tool

Automation and labor:

• IT jobs in 2020: Preparing for the next industrial revolution
• AI and jobs: Where humans are better than algorithms, and vice versa
• The 10 IT jobs that will be most in-demand in 2020
• Survey: Future IT pros should learn security and communication skills
• Five tech jobs that AI and automation will make radically more efficient
• IT pros will need a diverse skill set to be employed in 2020
• Six tips for finding tech talent for difficult-to-fill specialties
• How CIOs can adapt to growing demand for specialised talent

Machine learning:

• Inside the black box: Understanding AI decision-making
• Infographic: 50 percent of companies plan to use AI soon, but haven't worked out the details yet
• Five ways your company can get started implementing AI and ML
• Why AI and machine learning need to be part of your digital transformation plans

Automation:

• How to automate the enterprise: Your guide to getting started
• Research: Automation of low-level IT tasks is already widespread
• How robots are filling worker shortages, replacing 'bad' jobs, and making work more rewarding
• How to do automation right
• IT automation: Where it's working, where it's not
• Five best practices for bringing automation to your organization
• Chat bots: How talking to your apps became the next big thing
• How marketing automation is freeing up a motorist group to tackle digital transformation