Dell Technologies powers 4 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 4 countries. Documented deployments include AI agents.
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Use Cases
4
Industries
2
Countries
4
Agent Cases
2
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Filter Dell Technologies's implementations by cloud provider evidence.
How Dell Technologies builds AIBuild, Buy & Compose — what they mean
At Hannover Messe 2025, Accenture and Microsoft demonstrated real-world applications of AI agents in the manufacturing sector.Collaborations highlighted new levels of autonomous manufacturing, combining digital twins, automation, and cloud technologies for improved efficiency and flexibility.Sessions and keynotes explored how connected data, agentic architectures, and skilled workforces drive innovation and resilience across the value chain.Live demonstrations included scenarios such as autonomous supply chain management, 'batch of one' agile manufacturing, humanoid robot collaboration on the factory floor, and AI-powered control towers.Accenture, Schaeffler AG, Bridgestone EMIA, ABB, and VOITH, together with technology leaders like NVIDIA, Google, AWS, Siemens, SAP and Dell Technologies, showcased joint demos focused on real-time analytics, predictive alerts, generative AI, and distributed data orchestration.The event emphasized the transformative impact of Microsoft technologies including Azure AI, Azure OpenAI, Azure Digital Twins, and AI Agents, co-developing autonomous business models and resilient operations.Deep dives into topics such as IT/OT cybersecurity, modular manufacturing, Omnichannel automotive experiences, and satellite-powered 5G were part of the industry’s forward-looking agenda.
The City of Amarillo implemented Dell's Generative AI Solution for Digital Assistants, using Microsoft Azure AI and NVIDIA technologies to automate and enhance community service interactions.The multilingual digital assistant supports 62 languages and dialects, making civic services broadly accessible to a diverse population.The solution combines chat, voice, and AI Avatar interfaces to ensure human-like, 24/7 engagement with residents via the city's digital platforms.Dell’s validated design enables rapid deployment, adaptability, and data sovereignty, while professional services provided strategic customizations for Amarillo's needs.Digital assistants streamline routine tasks such as answering service queries, helping with forms, troubleshooting, and providing guidance, thus reducing load on human agents.The solution is scalable and modular, allowing the city to expand services and integrate with new data sources as required.With the Dell AI Factory/NVIDIA integration, Amarillo benefits from reliable infrastructure, security, and optimized AI performance.
A leading European industrial products manufacturer, operating over 70 sites worldwide, faced challenges with non-standardized IT across its global footprint. The organization partnered with DXC, Dell Technologies, and Microsoft to create a hyper-converged infrastructure (HCI) stack powered by Microsoft Azure. Sensor and machine data from factory floors are now streamed to Azure SQL Edge for edge analysis and routed via Azure Arc to a managed, centralized Azure SQL instance. This standardized platform enables rapid global data collection, real-time insights, and unified workflows. Applications developed by Luxoft further optimize production, providing visualization dashboards, operator tools, and advanced AI/ML-driven process optimization. End-to-end managed services, compliance, and lifecycle management are provided by DXC and Dell. The transformation empowers company-wide cost reductions, better quality control, increased innovation, and a shift toward data-driven, standardized operations across all manufacturing locations.
HCL Technologies implemented the Real-time Manufacturing Insights (RMI) solution on Microsoft Azure IoT Edge and Azure IoT Hub to provide manufacturing plants real-time operational visibility and predictive analytics.The solution integrated multiple disparate IT and IoT systems to monitor asset health, synchronize production cycles, and reduce unplanned downtime across plants.Advanced Azure analytics services enabled predictive and prescriptive maintenance, reducing downtime losses by 30%, increasing asset productivity by 15%, and cutting maintenance costs by 30%.HCL's partnership and expertise in Azure cloud, IoT, and analytics contributed extensively to the project success.