It would be a mistake to ignore the immediate impact artificial intelligence (AI) and machine learning (ML) is already having on software development processes and DevOps. While some may see AI and ML as new technologies high on the hype cycle with overall marginal influences — even though they have been available for years — many organizations are already taking advantage of how they can automate many tasks during the development process. This includes their role in performing more mundane and time-consuming tasks that developers, as well as operations staffers, would prefer not to do by letting the machine take over.

During this The New Stack Analysts podcast, two DevOps and development process experts spoke about AI’s and ML’s effects on DevOps and the state of algorithm development today and it impact on IT operations today: Hyoun Park, CEO and chief analyst, Amalgam Insights, and Bola Rotibi, Research Director, Software Development, CCS Insight. This roundtable was hosted by Alex Williams, founder and editor in chief of The New Stack.

Already, AI and ML are affecting DevOps workflows have provided “an amazing access to computing and processing” over the past few years, Park said. They have provided DevOps with the ability to test a wide variety of algorithmic strategies, as well as provide storage and data-management capabilities to handle the processing, the testing and benefits associated with machine learning, and artificial intelligence.