Red Hat and IBM Research Use AI to Boost IT Automation Productivity Red Hat and IBM Research Advance IT Automation with AI-Powered Capabilities for AnsibleProject Wisdom layers artificial intelligence into hybrid cloud automation to reduce skill barriers, free up IT teams to innovate and help drive Ansible automation as a core technologyRed Hat, Inc., the world's leading provider of
open source solutions, and IBM Research announced Project Wisdom, the
first community project to create an intelligent, natural language processing
capability for Ansible and the IT automation industry. Using an artificial
intelligence (AI) model, the project aims to boost the productivity of IT
automation developers and make IT automation more achievable and understandable
for diverse IT professionals with varied skills and backgrounds.
According to a 2021 IDC prediction1, “by 2026, 85% of enterprises will combine human expertise with AI, ML, NLP, and pattern recognition to augment foresight across the organization, making workers 25% more productive and effective. Technologies such as machine learning, deep learning, natural language processing, pattern recognition, and knowledge graphs are producing increasingly accurate and context-aware insights, predictions, and recommendations.” Project Wisdom – underpinned by AI foundation models derived from IBM’s AI for Code efforts – works by enabling a user to input a command as a straightforward English sentence. It then parses the sentence and builds the requested automation workflow, delivered as an Ansible Playbook, which can be used to automate any number of IT tasks. Unlike other AI-driven coding tools, Project Wisdom does not focus on application development; instead the project centers on addressing the rise of complexity in enterprise IT as hybrid cloud adoption grows. From human readable to human interactive Becoming an automation expert demands significant effort and resources over time, with a learning curve to navigate varying domains. Project Wisdom intends to bridge the gap between Ansible YAML code and human language, so users can use plain English to generate syntactically correct and functional automation content. It could enable a system administrator who typically delivers on-premises services to reach across domains to build, configure, and operate in other environments using natural language to generate playbook instructions. A developer who knows how to build an application, but not the skillset to provision it in a new cloud platform, could use Project Wisdom to expand proficiencies in these new areas to help transform the business. Novices across departments could generate content right away while still building foundational knowledge, without the dependencies of traditional teaching models. Driving open source innovation with collaboration While the power of AI in enterprise IT cannot be denied, community collaboration, along with insights from Red Hat and IBM, will be key in delivering an AI/ML model that aligns to the key tenets of open source technology. Red Hat has more than two decades of experience in collaborating on community projects and protecting open source licenses in defense of free software. Project Wisdom, and its underlying AI model, are an extension of this commitment to keeping all aspects of the code base open and transparent to the community. As hybrid cloud operations at scale become a key focus for organizations, Red Hat is committed to building the next wave of innovation on open source technology. As IBM Research and Ansible specialists at Red Hat work to fine tune the AI model, the Ansible community will play a crucial role as subject matter experts and beta testers to push the boundaries of what can be achieved together. Supporting Quotes Chris Wright, CTO and SVP of Global
Engineering, Red Hat Ruchir Puri, chief scientist, IBM
Research; IBM Fellow; vice president, IBM Technical Community Source: RedHat media announcement |