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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
- 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
- insightsProcurement AI creates a second risk surface for every automated action2026-08-10
- insightsAI hardware ethics reframes semiconductor Supply Chain opacity as an accountability problem2026-08-08
- alertsEVENT: Supply Chain session examines AI and BI security as pilots move toward production2026-08-07