(MENAFN- mslgroup) Red Hat, Inc., the world's leading provider of open source solutions, today announced Ansible Lightspeed with IBM Watson Code Assistant, a new generative AI service for Ansible automation. The service is designed to help drive consistent and accurate automation adoption across an organization, making it easier for novice users to automate tasks while removing the burden of low-level task creation from experienced automators.
In a time of evolving industry dynamics and economic uncertainty, businesses are tasked to do more with less. Organizations need a range of talent to stay resilient, drive innovation and realize the full value of hybrid cloud and automation investments, but shortages in critical IT skills can threaten these desired end-states. Per IDC, “90% of global organizations will experience the IT skills crisis by 2025,” which means that “by 2026, enterprises that did not effectively address the talent and digital skills gap in their organization will constrain revenue growth opportunities by 20%.” But, “driven by skills shortages, CIOs that invest in digital adoption platforms and automated learning technologies will see a 40% increase in productivity by 2025, delivering greater speed to expertise.”
Ansible Lightspeed represents the next phase of the Project Wisdom initiative, making it accessible to users, contributors, customers, and Red Hat’s ecosystem of partners. Using natural language processing, the service will integrate with Watson Code Assistant, expected to be generally available later this year, to access IBM foundation models and quickly build automation code. This is the value that Watson Code Assistant (in technical preview) aims to bring to enterprises: to address the skills gap and efficiencies needed to accelerate the time to value for automation.
Designed with developers and operators in mind, Ansible Lightspeed enables a significant productivity boost for Ansible users to input a straightforward English prompt while making it easier for users to translate their domain expertise into YAML code for creating or editing Ansible Playbooks. To help train the model, users can also provide feedback.
Domain-specific AI combines the power of first-hand experience with technical innovation and enables AI to be infused into domain-specific technologies, like automation, to meet their specific challenges. Because it’s trained by users with a core understanding of real-world applications, Ansible Lightspeed enables more consistent, higher quality recommendations for specific challenges right away. It can deliver real value quickly — in a user’s industry, language and function.
Red Hat and IBM intend to deliver an Ansible Lightspeed experience built on transparency, collaboration, and choice. Proper code source matching is a key priority, and upstream content contributors will have a choice as to whether or not their work contributes to finetuning of the model.
The technology preview of Ansible Lightspeed with IBM Watson Code Assistant is slated for availability later this year.
Ashesh Badani, senior vice president and Chief Product Officer, Red Hat
“Innovation has been and always will be a human-centric story. It starts with the right idea, flourishes with the right team and reaches its full potential with the right tools. That’s what we’re doing with Ansible Lightspeed: giving people a capable technology that's intelligent yet understandable enough for developers and operators to use automation in new ways and for users to employ their existing knowledge so that a vision can come to life. This brings AI to life in your own domain. And most importantly, it’s immediately capable, because your own experiences trained it.”
Kareem Yusuf Ph.D., senior vice president, Product Management and Growth, IBM Software
“The rapid pace at which many organizations are adopting AI requires solutions that will empower cloud developers and operations teams with the confidence and flexibility to scale and accelerate AI across their IT organization. IBM Watson Code Assistant, built on watsonx, will leverage carefully curated data in the Red Hat Ansible domain to help developers and operations teams across all skill levels write syntactically correct code with AI-generated recommendations."
Amy Loomis, research director, Future of Work, IDC
"As organizations continue to define and refine work models best suited for their industries, they inevitably will need to calibrate the right deployment of automation, digital and physical workspace, and place technologies. Far from being a means to an end, deployment of these technologies is sparking new leadership conversations around empowering workers to be more autonomous and innovative working with IT, across functions and with clients."1
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