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Software vendor
Cloud ComputingEnterprise AIData AnalyticsMachine LearningSupply Chain Technology
About
Google provides cloud, data, analytics and AI technologies through products including Google Cloud, Gemini and BigQuery.
The group profile complements existing entries for Google Cloud Supply Chain and Google Gemini Enterprise.
Dataleo perspective
Enterprise use of enterprise AI requires approved data boundaries, model evaluation, identity controls and ownership of generated recommendations.
Supply Chain teams should govern how cloud data, Gemini models and operational systems interact, especially before outputs alter forecasts, orders or execution priorities.
Related content
Around Google (12)
- insightsGoogle TimesFM reframes forecast model-building as a decision-architecture problem2026-09-03
- insightsWhy faster AI decisions require milestones based on physical supply-chain outcomes2026-10-08
- newsDescartes adds an Agent Control Plane for governed cross-company logistics workflows2026-10-06
- insightsAgent-to-agent supply chains need controls at the company boundary, not only inside each agent2026-10-06
- insightsSupply-chain risk AI becomes more useful when signals are linked across the product lifecycle2026-10-06
- insightsAI supply chain planning: faster decisions need clearer accountability2026-10-06
- insightsAI pilot purgatory in supply chain: decision ownership is the scaling bottleneck2026-10-06
- alertsEVENT: Gartner examines the gaps in Supply Chain AI value realization2026-10-05
- alertsEVENT: TDWI, SAP and Databricks examine real-time context for production Supply Chain AI2026-10-05
- tutorialsActivate Joule in SAP IBP Without Confusing Conversational Access with Planning Authority2026-10-05
- insightsThe intelligent supply chain is a decision architecture, not an autonomy target2026-10-02
- insightsSponsored insight: How AI is reshaping supply chain decision-making2026-10-01