AIops is what you get when you combine big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination. At least, that’s how Gartner defines it.

Based on this definition, as well as coverage of vendors that have products they label with the AIops moniker, you’d be inclined to think that AIops is mostly about anomaly detection and remediation. But what about provisioning, configuration, deployment and orchestration?

These are all essential parts of IT operations that haven’t received as much AIops attention. They also happen to be at the core of Red Hat’s open-source IT automation tool, Ansible. The tool is one of the world’s most popular open-source projects, focusing on using automation to install software, automate daily tasks, provision infrastructure, improve security and compliance, patch systems and share automation across the entire organization.

Now, Red Hat has new plans for Ansible with its other initiative, Project Wisdom. The company is aiming to take automation to the next level in collaboration with IBM Research. Red Hat refers to Project Wisdom as the first community project to create an intelligent, natural language processing (NLP) capability for Ansible and the IT automation industry.

Tom Anderson, VP and GM for Red Hat’s Ansible Business Unit, said Project Wisdom’s future is what he considers “real AIops, where decisions are being made and content and automation decisions are being created in real-time using AI.”

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