If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it.
While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes. Moreover, in the near term, 71% say they are already using AI-driven insights to assist with their mainframe modernization efforts.
Running AI on mainframes as a trend is still in its infancy, but the survey suggests many companies do not plan to give up their mainframes even as AI creates new computing needs, says Petra Goude, global practice leader for core enterprise and zCloud at global managed IT services company Kyndryl.
Many Kyndryl customers seem to be thinking about how to merge the mission-critical data on their mainframes with AI tools, she says. In addition to using AI with modernization efforts, almost half of those surveyed plan to use generative AI to unlock critical mainframe data and transform it into actionable insights.
“You either move the data to the [AI] model that typically runs in cloud today, or you move the models to the machine where the data runs,” she adds. “I believe you’re going to see both.”
Meanwhile, AI can also help companies modernize their mainframe strategies, whether it be assisting with moving workloads to the cloud, converting old mainframe code, or training workers in mainframe-related technologies, Goude says.
For most users, mainframe modernization means keeping some mission-critical workloads on premises while shifting other workloads to the cloud, Goude says. A huge majority of survey respondents plan to move some workloads off the mainframe, but nearly as many say they consider mainframes important to their business strategies.
Goude sees more business and IT leaders embracing a hybrid IT environment now than in past years, when many organizations were taking an all-or-nothing approach.
Meanwhile, AI can also help companies modernize their mainframe strategies, whether it be assisting with moving workloads to the cloud, converting old mainframe code, or training workers in mainframe-related technologies, Goude says.
For most users, mainframe modernization means keeping some mission-critical workloads on premises while shifting other workloads to the cloud, Goude says. A huge majority of survey respondents plan to move some workloads off the mainframe, but nearly as many say they consider mainframes important to their business strategies.
Goude sees more business and IT leaders embracing a hybrid IT environment now than in past years, when many organizations were taking an all-or-nothing approach.
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