# IBM's AI Operating Model 2026

Published articles for IBM's AI Operating Model 2026.

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

DevFeed: [IBM puts agentic workloads at the heart of its AI operating model](<https://devfeed.tech/articles/ibm-puts-agentic-workloads-at-the-heart-of-its-ai-operating-model-114309.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/11/03/ibm-connects-agentic-workloads-demands-always-on-ai-ibmaioperatingmodel/>)

Author: Victoria Gayton

Published: 2026-11-03T16:45:43Z

Content type: news

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [Agentic AI](<https://devfeed.tech/topics/what-is-agentic-ai.md>), [ibm](<https://devfeed.tech/topics/ibm.md>), [AI Integration Strategies](<https://devfeed.tech/topics/ai-integration-strategies.md>), [AI Strategy](<https://devfeed.tech/topics/ai-strategy.md>), [ai evaluation](<https://devfeed.tech/topics/ai-evaluation.md>), [ai observability](<https://devfeed.tech/topics/ai-observability.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>)

Tags: [actions](<https://devfeed.tech/tags/actions.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-workloads](<https://devfeed.tech/tags/agentic-workloads.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-operating-model](<https://devfeed.tech/tags/ai-operating-model.md>), [applications](<https://devfeed.tech/tags/applications.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [autonomous](<https://devfeed.tech/tags/autonomous.md>), [autonomous-systems](<https://devfeed.tech/tags/autonomous-systems.md>), [cube-event-coverage](<https://devfeed.tech/tags/cube-event-coverage.md>), [data](<https://devfeed.tech/tags/data.md>), [data-governance](<https://devfeed.tech/tags/data-governance.md>), [dave-vellante](<https://devfeed.tech/tags/dave-vellante.md>), [enterprise-ai](<https://devfeed.tech/tags/enterprise-ai.md>), [enterprise-operations](<https://devfeed.tech/tags/enterprise-operations.md>), [enterprises](<https://devfeed.tech/tags/enterprises.md>), [hybrid-cloud](<https://devfeed.tech/tags/hybrid-cloud.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [ibm-corp](<https://devfeed.tech/tags/ibm-corp.md>), [ibm-s-ai-operating-model-2026](<https://devfeed.tech/tags/ibm-s-ai-operating-model-2026.md>), [ibmaioperatingmodel](<https://devfeed.tech/tags/ibmaioperatingmodel.md>), [infra](<https://devfeed.tech/tags/infra.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [john-furrier](<https://devfeed.tech/tags/john-furrier.md>), [model](<https://devfeed.tech/tags/model.md>), [news](<https://devfeed.tech/tags/news.md>), [nyse-ibm](<https://devfeed.tech/tags/nyse-ibm.md>), [organizations](<https://devfeed.tech/tags/organizations.md>), [production](<https://devfeed.tech/tags/production.md>), [ritika-gunnar](<https://devfeed.tech/tags/ritika-gunnar.md>), [salesforce](<https://devfeed.tech/tags/salesforce.md>), [sap](<https://devfeed.tech/tags/sap.md>), [scaling](<https://devfeed.tech/tags/scaling.md>), [scaling-ai](<https://devfeed.tech/tags/scaling-ai.md>), [siliconangle](<https://devfeed.tech/tags/siliconangle.md>), [thecube](<https://devfeed.tech/tags/thecube.md>), [video-exclusive](<https://devfeed.tech/tags/video-exclusive.md>)

### AI overview

IBM's proposed AI operating model combines four components for agentic workloads: enterprise data, applications and workflows, automation, and hybrid cloud. The article says they must work together and integrate with existing systems such as SAP and Salesforce; automation provides observability that can inform model and agent selection. IBM's Ritika Gunnar emphasizes governing data access while preserving context and provenance, and keeping people involved in essential systems where tacit employee knowledge or AI maturity calls for human judgment. Logs and prompts can feed evaluation loops that compare decisions for accuracy, timeliness, and cost against intended business outcomes. The excerpt presents these as IBM's approach, without detailing implementation or independently evaluating results.

### Source excerpt

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 [...] The post IBM puts agentic workloads at the heart of its AI operating model appeared first on SiliconANGLE.

## IBM puts governed context at the center of production AI

DevFeed: [IBM puts governed context at the center of production AI](<https://devfeed.tech/articles/ibm-puts-governed-context-at-the-center-of-production-ai-96028.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/10/22/ibm-puts-governed-context-center-production-ai-ibmaioperatingmodel/>)

Author: Victoria Gayton

Published: 2026-10-22T16:35:31Z

Content type: news

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [AI-Ready Data](<https://devfeed.tech/topics/ai-ready-data.md>), [ai-governance](<https://devfeed.tech/topics/ai-governance.md>), [AI Strategy](<https://devfeed.tech/topics/ai-strategy.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Integration Strategies](<https://devfeed.tech/topics/ai-integration-strategies.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [artificial-intelligence-agents](<https://devfeed.tech/tags/artificial-intelligence-agents.md>), [business](<https://devfeed.tech/tags/business.md>), [business-context](<https://devfeed.tech/tags/business-context.md>), [business-process](<https://devfeed.tech/tags/business-process.md>), [business-processes](<https://devfeed.tech/tags/business-processes.md>), [context](<https://devfeed.tech/tags/context.md>), [cube-event-coverage](<https://devfeed.tech/tags/cube-event-coverage.md>), [data](<https://devfeed.tech/tags/data.md>), [data-governance](<https://devfeed.tech/tags/data-governance.md>), [dave-vellante](<https://devfeed.tech/tags/dave-vellante.md>), [enterprise-operations](<https://devfeed.tech/tags/enterprise-operations.md>), [enterprises](<https://devfeed.tech/tags/enterprises.md>), [governed-context](<https://devfeed.tech/tags/governed-context.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [ibm-confluent](<https://devfeed.tech/tags/ibm-confluent.md>), [ibm-corp](<https://devfeed.tech/tags/ibm-corp.md>), [ibm-s-ai-operating-model-2026](<https://devfeed.tech/tags/ibm-s-ai-operating-model-2026.md>), [ibm-techxchange-2026](<https://devfeed.tech/tags/ibm-techxchange-2026.md>), [ibmaioperatingmodel](<https://devfeed.tech/tags/ibmaioperatingmodel.md>), [john-furrier](<https://devfeed.tech/tags/john-furrier.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [news](<https://devfeed.tech/tags/news.md>), [nyse-ibm](<https://devfeed.tech/tags/nyse-ibm.md>), [personal](<https://devfeed.tech/tags/personal.md>), [production](<https://devfeed.tech/tags/production.md>), [production-ai](<https://devfeed.tech/tags/production-ai.md>), [productivity-tools](<https://devfeed.tech/tags/productivity-tools.md>), [shaun-clowes](<https://devfeed.tech/tags/shaun-clowes.md>), [siliconangle](<https://devfeed.tech/tags/siliconangle.md>), [streamhouse-architecture](<https://devfeed.tech/tags/streamhouse-architecture.md>), [systems](<https://devfeed.tech/tags/systems.md>), [thecube](<https://devfeed.tech/tags/thecube.md>)

### AI overview

IBM's proposed "streamhouse architecture" brings current business state from operational systems to AI agents, with governance and data preparation close to where information is produced rather than requiring centralization first. IBM Confluent combines streaming, connectivity, processing, governance and querying to support that approach. Agents also need task-specific definitions and governed metrics or datasets so models reason from context suited to each business process. The excerpt recommends starting with high-value tasks, improving specialized agents as they gain experience, and connecting relevant data sources so agents can access operational information continuously. These points are presented as IBM executive Shaun Clowes's approach; the excerpt does not provide independent performance evidence.

### Source excerpt

Governed context is becoming a practical requirement for artificial intelligence agents expected to make decisions across a business. As enterprises move beyond personal productivity tools, those agents need information that reflects changing conditions across the systems they use. IBM Corp.'s approach connects that data foundation to the broader challenge of putting AI into production. A [...] The post IBM puts governed context at the center of production AI appeared first on SiliconANGLE.

## IBM ties intelligent operations to agent safety and business value

DevFeed: [IBM ties intelligent operations to agent safety and business value](<https://devfeed.tech/articles/ibm-ties-intelligent-operations-to-agent-safety-and-business-value-87766.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/10/15/ibm-ties-intelligent-operations-agent-safety-business-value-ibmaioperatingmodel/>)

Author: Victoria Gayton

Published: 2026-10-15T17:24:33Z

Content type: news

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [AI in IT operations](<https://devfeed.tech/topics/ai-in-it-operations.md>), [ai security](<https://devfeed.tech/topics/ai-security.md>), [finops](<https://devfeed.tech/topics/finops.md>), [Production Engineering](<https://devfeed.tech/topics/production-engineering.md>), [AI Context Management](<https://devfeed.tech/topics/ai-context-management.md>), [internal developer platform automation](<https://devfeed.tech/topics/internal-developer-platform-automation.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agent-oversight](<https://devfeed.tech/tags/agent-oversight.md>), [agent-safety](<https://devfeed.tech/tags/agent-safety.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-orchestration](<https://devfeed.tech/tags/ai-orchestration.md>), [apptio](<https://devfeed.tech/tags/apptio.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [automation](<https://devfeed.tech/tags/automation.md>), [cube-event-coverage](<https://devfeed.tech/tags/cube-event-coverage.md>), [dave-vellante](<https://devfeed.tech/tags/dave-vellante.md>), [enterprise-operations](<https://devfeed.tech/tags/enterprise-operations.md>), [financial](<https://devfeed.tech/tags/financial.md>), [finops](<https://devfeed.tech/tags/finops.md>), [hashicorp](<https://devfeed.tech/tags/hashicorp.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [ibm-s-ai-operating-model-2026](<https://devfeed.tech/tags/ibm-s-ai-operating-model-2026.md>), [ibmaioperatingmodel](<https://devfeed.tech/tags/ibmaioperatingmodel.md>), [ibmsaioperatingmodel26eventpage](<https://devfeed.tech/tags/ibmsaioperatingmodel26eventpage.md>), [infagraph](<https://devfeed.tech/tags/infagraph.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [intelligent-operations](<https://devfeed.tech/tags/intelligent-operations.md>), [itdr](<https://devfeed.tech/tags/itdr.md>), [john-furrier](<https://devfeed.tech/tags/john-furrier.md>), [news](<https://devfeed.tech/tags/news.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-open-agent-safety-platform](<https://devfeed.tech/tags/nvidia-open-agent-safety-platform.md>), [nyse-ibm](<https://devfeed.tech/tags/nyse-ibm.md>), [terraform](<https://devfeed.tech/tags/terraform.md>), [thecube](<https://devfeed.tech/tags/thecube.md>), [tyler-lynch](<https://devfeed.tech/tags/tyler-lynch.md>), [work](<https://devfeed.tech/tags/work.md>)

### AI overview

IBM's AI operating model links enterprise agents to customer outcomes, infrastructure dependencies and financial accountability. The article discusses agent identity, authorization, logging and telemetry; using infrastructure graphs to assess dependency impacts; and evaluating AI by business outcomes as well as spending.

### Source excerpt

Intelligent operations begin with a business question: What should artificial intelligence help an enterprise accomplish? As agents take on more work, organizations need an operating model that connects their actions to customer outcomes, infrastructure dependencies and financial accountability. IBM Corp.'s approach brings automation, data and operational signals into that broader framework. Moving beyond isolated projects [...] The post IBM ties intelligent operations to agent safety and business value appeared first on SiliconANGLE.

## IBM connects enterprise AI orchestration to production readiness ahead of TechXchange

DevFeed: [IBM connects enterprise AI orchestration to production readiness ahead of TechXchange](<https://devfeed.tech/articles/ibm-connects-enterprise-ai-orchestration-to-production-readiness-ahead-of-techxchange-84403.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/10/09/ibm-connects-enterprise-ai-orchestration-production-readiness-ibmaioperatingmodel/>)

Author: Victoria Gayton

Published: 2026-10-09T22:52:52Z

Content type: news

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [agent orchestration](<https://devfeed.tech/topics/agent-orchestration.md>), [digital sovereignty](<https://devfeed.tech/topics/digital-sovereignty.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Production Engineering](<https://devfeed.tech/topics/production-engineering.md>)

Tags: [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ai-operating-model](<https://devfeed.tech/tags/ai-operating-model.md>), [automation](<https://devfeed.tech/tags/automation.md>), [batch](<https://devfeed.tech/tags/batch.md>), [bruno-aziza](<https://devfeed.tech/tags/bruno-aziza.md>), [citigroup](<https://devfeed.tech/tags/citigroup.md>), [cube-event-coverage](<https://devfeed.tech/tags/cube-event-coverage.md>), [cvs-health](<https://devfeed.tech/tags/cvs-health.md>), [dave-vellante](<https://devfeed.tech/tags/dave-vellante.md>), [doordash](<https://devfeed.tech/tags/doordash.md>), [enterprise-ai](<https://devfeed.tech/tags/enterprise-ai.md>), [enterprise-ai-orchestration](<https://devfeed.tech/tags/enterprise-ai-orchestration.md>), [hybrid-cloud](<https://devfeed.tech/tags/hybrid-cloud.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [ibm-s-ai-operating-model-2026](<https://devfeed.tech/tags/ibm-s-ai-operating-model-2026.md>), [ibmaioperatingmodel](<https://devfeed.tech/tags/ibmaioperatingmodel.md>), [ibmsaioperatingmodel26eventpage](<https://devfeed.tech/tags/ibmsaioperatingmodel26eventpage.md>), [john-furrier](<https://devfeed.tech/tags/john-furrier.md>), [news](<https://devfeed.tech/tags/news.md>), [nyse-ibm](<https://devfeed.tech/tags/nyse-ibm.md>), [oversight](<https://devfeed.tech/tags/oversight.md>), [production](<https://devfeed.tech/tags/production.md>), [sovereign-core](<https://devfeed.tech/tags/sovereign-core.md>), [sovereignty](<https://devfeed.tech/tags/sovereignty.md>), [thecube](<https://devfeed.tech/tags/thecube.md>)

### AI overview

IBM's AI operating model is presented as a way to coordinate employee-built agents across existing applications, data, and infrastructure while maintaining visibility, oversight, and operational control. The article also discusses sovereignty across data, technology, operations, and regulation, and describes practitioner discussions planned for TechXchange 2026.

### Source excerpt

Enterprise AI orchestration must account for agents working across the data, applications and infrastructure businesses already use. As organizations move beyond experiments, running those systems consistently brings questions of access, oversight and operational control into sharper focus. Those deployment challenges will help shape the discussion at IBM TechXchange 2026, taking place Oct. 26-29 in Atlanta. [...] The post IBM connects enterprise AI orchestration to production readiness ahead of TechXchange appeared first on SiliconANGLE.