Artificial intelligence is reportedly boosting intelligence within businesses and is also doing the same for information technology shops. For example, AIOps (artificial intelligence for IT operations) applies AI and machine learning to data streaming from IT processes, sifting through the noise to detect, spotlight, and head off problems.
AI and machine learning are also finding a home in another emerging area of IT: assisting DevOps teams in assuring the viability and quality of the software that is moving at ever-faster speeds through the system and out to users.
As found in a recent survey out of GitHub, development and ops teams are turning to AI in a big way to smooth the flow of code through the software review and testing phase, with 31% of teams actively using AI and ML algorithms for code review -- more than double last year's number. The survey also finds 37% of teams use AI/ML in software testing (up from 25%), and a further 20% plan to introduce it this year.
An additional survey out of Techstrong Research and Tricentis confirms this trend. The survey of 2,600 DevOps practitioners and leaders finds 90% are favorable about injecting more AI into the testing phase of DevOps flows, and see it as a way to resolve skills shortages they are facing as well. (Tricentis is a software testing vendor, with an obvious stake in the results. But the data is significant as it reflects a growing shift toward more autonomous DevOps approaches.)
Continue reading: https://www.zdnet.com/article/to-alleviate-devops-skills-issues-we-need-more-ai-skills-ironically/
AI and machine learning are also finding a home in another emerging area of IT: assisting DevOps teams in assuring the viability and quality of the software that is moving at ever-faster speeds through the system and out to users.
As found in a recent survey out of GitHub, development and ops teams are turning to AI in a big way to smooth the flow of code through the software review and testing phase, with 31% of teams actively using AI and ML algorithms for code review -- more than double last year's number. The survey also finds 37% of teams use AI/ML in software testing (up from 25%), and a further 20% plan to introduce it this year.
An additional survey out of Techstrong Research and Tricentis confirms this trend. The survey of 2,600 DevOps practitioners and leaders finds 90% are favorable about injecting more AI into the testing phase of DevOps flows, and see it as a way to resolve skills shortages they are facing as well. (Tricentis is a software testing vendor, with an obvious stake in the results. But the data is significant as it reflects a growing shift toward more autonomous DevOps approaches.)
Continue reading: https://www.zdnet.com/article/to-alleviate-devops-skills-issues-we-need-more-ai-skills-ironically/
