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IBM provides hybrid-cloud, data, AI, automation and governance technologies for enterprise and industrial use.
The group profile complements existing entries for IBM watsonx and IBM Supply Chain Intelligence.
Dataleo perspective
Scaling enterprise AI requires shared architecture, governed data, model controls and clear accountability across business and technology teams.
Supply Chain deployments should identify the authoritative plan, approval points and integration boundary between watsonx, analytics, ERP, APS and execution systems.
Related content
Around IBM (12)
- alertsEVENT: RAISE 2026 convenes enterprise AI leaders in Paris2026-07-06
- newsSnowflake introduces Business Ontology to ground AI agents in approved enterprise definitions2026-11-03
- insightsProcurement's AI skills gap: decision capability matters more than tool fluency2026-10-28
- insightsGartner: AI-driven supply chain headcount cuts put the next generation of planning judgment at risk2026-10-28
- newsDescartes adds an Agent Control Plane for governed cross-company logistics workflows2026-10-06
- alertsEVENT: INDL-9 examines the human data-work layer behind AI supply chains2026-09-11
- insightsThe real AI advantage in fulfillment is decision quality2026-08-25
- insightsReversibility as a rule for AI decision rights2026-08-24
- insightsWhat supply chain demands of enterprise AI2026-08-19
- alertsEVENT: From Risk to Resilience — AI’s Role in the Modern Defense Supply Chain2026-08-18
- alertsEVENT: Supply-chain AI accountability focuses on the agent log2026-08-14
- jobsSpecialist, Supply Chain Management Data & Innovation2026-08-12