IBM puts agentic workloads at the heart of its AI operating model

Agentic workloads present a new operating challenge for enterprises putting artificial intelligence into production. As autonomous systems take on ongoing responsibilities, organizations must support decisions and actions across their data, applications and infrastructure. IBM Corp.’s approach draws on the experiences of clients scaling AI across their organizations. That work helped identify the requirements underpinning its AI operating model, according to Ritika Gunnar (pictured), chief performance marketing officer of IBM. “As you’re more successful in using AI, especially as AI is taking action, you now have workloads that are continuously being utilized,” she…