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On November 4, 2026, IBM Chief Performance Marketing Officer Ritika Gunnar elaborated on IBM's AI operating model and its four components. According to SiliconANGLE, the model integrates four components—data, workloads, automation, and hybrid cloud—to support continuously running agentic workloads. Gunnar said enterprises need to integrate with existing systems such as SAP and Salesforce, and have governance permissions flow in real time with the data so that agents can make better decisions. She also emphasized that critical systems still require humans in the loop to supplement tacit knowledge, and that agent performance should be evaluated against business outcomes in terms of accuracy, timeliness, and cost. There have been no subsequent developments so far.
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IBM connects agentic workloads to an always-on AI operating modelDevelopments
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- Source:SiliconANGLE
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Nov 4
SiliconANGLE
IBM connects agentic workloads to an always-on AI operating model
IBM proposes an AI operating model that integrates four components—data, workloads, automation, and hybrid cloud—to support continuously running agentic workloads. IBM Chief Performance Marketing Officer Ritika Gunnar said enterprises need to integrate with existing systems such as SAP and Salesforce, and have governance permissions flow in real time with the data so agents can make better decisions. She also emphasized that critical systems still require humans in the loop to supply tacit knowledge, and that agent performance should be evaluated against business outcomes in terms of accuracy, timeliness, and cost.