AI in mainframe environments
Kyndryl also reports greater interest in adopting AI on the mainframe.
AI and generative AI promise to transform the mainframe environment by delivering insights into complex unstructured data, augmenting human action with advances in speed, efficiency and error reduction, while helping to understand and modernize existing applications. Generative AI also has the potential to illuminate the inner workings of monolithic applications, Kyndryl stated.
“Enterprises clearly see the potential with 86% of respondents confirmed they are deploying, or planning to deploy, generative AI tools and applications in their mainframe environments, while 71% say that they are already implementing generative AI-driven insights as part of their mainframe modernization strategy,” Kyndryl stated.
When asked about the business conditions driving their mainframe modernization investment decisions over the next 12 months, more than a third (36%) named the opportunities offered by AI as a top investment decision, Kyndryl stated.
AI is just beginning to make an impact, however. The majority (80%) of survey respondents said they were in the early or mid-stages of AI integration.
“Businesses are still exploring the possibilities, with over a third (36%) of respondents currently identifying new generative AI use cases,” Kyndryl stated.
