IBM charts AI operating model to move enterprises beyond experimentation

IBM Corp. is expanding its enterprise artificial intelligence portfolio with a new 'AI operating model' to help customers translate early AI investments into measurable returns. The company is focusing on operational integration, including agent orchestration, real-time data integration, and hybrid cloud operations.
IBM Corp. is outlining a broad expansion of its enterprise artificial intelligence portfolio at its Think 2026 conference. The company is positioning a new 'AI operating model' as the next stage in its customers' march toward translating early investments into measurable returns. IBM is framing AI as an operational transformation challenge rather than a model or tooling race, emphasizing its independence from AI models. The company is promoting a four-part architecture built around agents, data, automation, and hybrid infrastructure. IBM is focusing on operational integration, including agent orchestration, real-time data integration, and hybrid cloud operations. The company has introduced new capabilities in its 'Project Bob' platform and is emphasizing real-time data pipelines as a prerequisite for effective AI coordination.
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