Industrial inspection

This is a real-world implementation case where a company uses Microsoft Azure services to automate video analysis across multiple industries including agriculture, environmental research, manufacturing, and public safety.The solution automates the extraction of frames from video footage, applies AI models to identify objects and text, and visualizes analyzed data for improved decision-making.

Agriculture

Novo Nordisk A/S uses computer vision and machine learning on AWS to automate manufacturing quality tasks such as cartridge counting and anomaly detection for agar plates.The company built a prototyping solution to train, deploy, monitor, and manage ML models for edge devices and to support regulated pharmaceutical operations.

Novo NordiskPharma

Swoop Aero is an integrated drone logistics service operating in 14 countries, including Australia, the UK, Malawi, Mozambique, and the Democratic Republic of Congo.The company needed scalable, reliable technology to support autonomous aircraft operations in remote areas with poor or no connectivity while maintaining situational awareness and safe landing reliability.

Swoop AeroLogistics

Rockwell Automation partnered with Microsoft to transform factory operations using a unified OT/IT data approach. By integrating Rockwell's FactoryTalk Optix with Azure IoT Operations and Azure Arc, manufacturers are able to gain real-time insights and AI-driven analytics across the production floor. The edge-to-cloud architecture leverages secure, interoperable industrial protocols and enables predictive maintenance, improved monitoring, and automated deployment with Copilot.The solution brings together previously siloed operational and information systems, supporting scalability from pilot to full production deployment. Manufacturers can now replicate successes more easily across different plants and geographies. Enhanced security, automated observability, and centralized management streamline operations, reduce integration complexity, and drive efficiency gains.The partnership exemplifies how industrial expertise, when coupled with adaptive cloud solutions, can break down data silos and unlock new levels of innovation for the manufacturing industry.

Rockwell AutomationManufacturing

BMW deployed an Edge Ecosystem to globally manage and distribute production applications and AI models at scale. This system reduced the manual management efforts for thousands of edge devices at BMW factories, preventing misconfigurations and minimizing production downtime. Built on open, cloud-based technologies and using Azure AI, the approach allows fast, centralized distribution and integration of software updates and deep learning models for quality assurance. Applications include optimizing real-time machine lubrication and retrofitting legacy equipment to be cloud-compatible via edge gateways. The Edge Ecosystem enables flexible application management, predictive maintenance, and integration of supplier systems, enhancing efficiency throughout the production process. The implementation won the Microsoft Intelligent Manufacturing Award in 2021.The solution is used worldwide, connecting edge devices in tasks such as inline quality assurance and real-time process optimization. Its architecture reduces downtime through rapid device replacement (hot-swapping), and integrates new and existing hardware securely and efficiently, driving BMW’s digitalization journey.

BMWManufacturing

African manufacturers including Bell Equipment, Sappi, Twiga Foods, Kobo360, Dangote Cement, and HiQ Africa are leveraging Microsoft Azure and AI to transform manufacturing. By integrating AI-driven predictive maintenance, AI vision systems, and logistics optimization platforms into established continuous improvement (CI) frameworks like Lean and Six Sigma, these organizations have improved production efficiency, reduced downtime, optimized inventory, and cut energy waste. The use cases span across diverse manufacturing sectors and countries, highlighting both large and SME manufacturers in Africa.Key examples include Bell Equipment's ML-powered predictive maintenance, Sappi's AI-driven energy optimization in pulp processing, Twiga Foods' logistics platform that connects African smallholder farms to urban markets, Kobo360's truck fleet optimization, Dangote Cement's defect reduction, and Accra's AI-powered textile inventory management. Challenges such as infrastructure gaps, data quality, and the scarcity of data scientists are addressed through cloud-based Azure platforms and university partnerships. The article emphasizes the need for practitioners to develop data literacy and ethical AI skills, engage in community knowledge sharing, and ensure inclusive deployment. Collaborations with governments, universities, and industry leaders support the migration to smart, sustainable African factories, with measurable gains in cost savings, waste reduction, and competitiveness across the continent.

Kyndryl, a leading global enterprise technology services provider, expanded its distributed cloud portfolio using Microsoft Azure's adaptive cloud approach. The solution unifies business operations across hybrid, multicloud, edge, and IoT environments. By leveraging advanced Microsoft Azure technologies such as Azure Arc, Azure Local, Azure Cloud, and Azure Fabric, Kyndryl enables its customers in retail, manufacturing, energy, and healthcare to modernize IT landscapes. Key services include central AI-driven management, rapid app development, unified data management, and enhanced security, delivered both advisory and as managed services. The strategic partnership with Microsoft supports agility, operational efficiency, and accelerated innovation for thousands of enterprise clients worldwide.Use cases span AI video solutions in retail, electronic shelf labeling, asset tracking, digital twins, predictive maintenance, RPA, IoT data streaming, and even AR-assisted surgery in healthcare. The adaptive cloud model delivers seamless scalability, workflow improvement, and innovation for mission-critical workloads.

KyndrylTech & Comms

Amach deployed AWS-powered computer vision solutions to improve airport and airline operations, leveraging real-time analysis of video feeds and sensor data.The solution enhances passenger flow, turnaround time predictability, ramp congestion management, baggage oversight, and safety compliance.AWS services such as Amazon Rekognition, AWS Panorama, Amazon SageMaker, and AWS IoT Greengrass enable edge computing and AI-powered operational insights.

AmachLogistics

Inventec has revamped its manufacturing facilities into smart factories using Microsoft Azure, leveraging IoT, AI, and Azure Private 5G Core. These innovations improved productivity, reduced AI deployment times by 50%, and enhanced quality control with HoloLens and IoT cameras.

InventecManufacturing

Duke Energy, a major US energy company, set a goal to reach net-zero methane emissions from its gas distribution business by 2030, aiming to surpass regulatory requirements.To achieve this, Duke partnered with Accenture and Avanade to co-innovate an AI-powered, end-to-end methane monitoring and predictive maintenance platform based on Microsoft Azure.The system harnesses satellite data, AI, and analytics to monitor and quantify emissions from gas pipelines and assets, presenting prioritized findings in visual dashboards usable at multiple organizational levels.This new approach enables near real-time leak detection, allowing workers to find and respond to leaks in minutes instead of days with traditional inspections.Advanced geolocation and AI-powered predictions help identify vulnerabilities and stop leaks before they become critical, vastly improving operational resilience.The platform sets a new industry standard for how methane emissions are tracked and managed, with plans to scale across all asset types and regions.Leadership at Duke Energy already benefits from more accurate, holistic insights for decision-making.Major reductions in methane emissions are already being achieved, directly aiding in meeting environmental commitments and safeguarding communities.The system is expected to accelerate Duke Energy’s journey toward net-zero goals and provide a model for other utilities worldwide.

Duke EnergyEnergy & Utilities