Cummins
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Cummins has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country.
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Hyperscaler mix
See whether Cummins's cases are powered by Microsoft, AWS, GCP, or multiple providers.
Use case portfolio
Use case types at Cummins
Data governance leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Technology snapshot
What Cummins uses across visible cases
11 named technologies are mentioned across 2 cases, led by AI.
Capability mix
No capability flags are attached to these cases yet.
All Use Cases (2)
Cummins enhances sustainable data governance and AI adoption with Microsoft Purview
Cummins automated data classification and sensitivity labeling with Microsoft Purview Information Protection to enforce data sensitivity levels and protections.It deployed Microsoft Purview Data Lifecycle Management to enforce customized file lifecycles and prepare clean, secure data for Microsoft 365 Copilot adoption.The program reduced outdated files, supported compliance, and improved collaboration on sensitive data.
Cummins digitizes global factories with AI, IoT, and human-machine collaboration
Cummins, a global automotive and power technology manufacturer, is transforming its 90+ worldwide factories to create a 'factory of the future.' In response to evolving market demands, including the transition to electric power systems and the need for smarter products, Cummins launched an internal digital accelerator to drive technological innovation across its operations and workforce.The company is deploying a ‘technology raft’ including industrial Internet of Things (IoT), AI, cobots (collaborative robots), and analytics software to modernize manufacturing and ensure worker safety. Virtual and augmented reality tools are being piloted for next-generation workforce training. The initiative aims to improve automation, quality, and efficiency, while also making manufacturing roles more attractive to a younger, tech-savvy workforce.Ergonomics analytics, smart sensors, and human-robot collaboration remove workflow bottlenecks and reduce safety incidents. Workforce development focuses on upskilling both existing staff and recruiting new talent, with partnerships and community outreach to fuel the industrial talent pipeline.This large-scale project creates new benchmarks for digitally enabled, safe, and efficient manufacturing in the automotive industry.
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