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Microsoft Azure enables the world’s applications to become intelligent using the next-generation infrastructure, data and developer services.
Azure supports the broadest selection of operating systems, programming languages, frameworks, tools, databases and devices. Run Linux containers with Docker integration; build apps with JavaScript, Python, .NET, PHP, Java and Node.js; build back-ends for iOS, Android and Windows devices. Azure cloud service supports the same technologies millions of developers and IT professionals already rely on and trust.

Some cloud providers make you choose between your datacenter and the cloud. Not Azure, which easily integrates with your existing IT environment through the largest network of secure private connections, hybrid database and storage solutions, and data residency and encryption features — so your assets stay right where you need them. And with Azure Stack, you can bring the Azure model of application development and deployment to your datacenter. Azure hybrid cloud solutions give you the best of both worlds: more IT options, less complexity and cost. It’s why it’s one of the best cloud computing services available.

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  • SUPPLIER
  • Microsoft Azure
    Microsoft Azure is a cloud computing platform and infrastructure created by Microsoft for building, deploying, and managing applications and services through a global network of Microsoft-managed data centers. It provides both PaaS and IaaS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems. Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014.
  • SNAPSHOT
  • Embedded Operating System
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  • Application Industries
  • Automotive
    Construction & Buildings
    Energy
    Equipment & Machinery
    Other
  • Application Functions
  • Logistics & Warehousing
    Maintenance
    Process Manufacturing
    Product Development
    Quality Assurance
  • USE CASES
  • Fleet Management (FM)
    Fleet management is an administrative approach that allows companies to organize and coordinate work vehicles with the aim to improve efficiency, reduce costs, and provide compliance with government regulations. While most commonly used for vehicle tracking, fleet management includes following and recording mechanical diagnostics and driver behavior.Automated Fleet Management solutions to connect vehicles and monitor driver activities, allowing managers to gain an unprecedented level of insight into fleet performance and driver behavior. This enables them to know where vehicles and drivers are at all times, identify potential problems much sooner and mitigate risks before they become larger issues that can jeopardize client satisfaction, impact driver safety or increase costs. 
    Process Control & Optimization (PCO)
    Process Control and Optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints.The PCO market is being driven by rising demand for energy efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations.Fundamentally, there are three parameters that can be adjusted to affect optimal performance:- Equipment optimizationThe first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks.- Operating proceduresOperating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual.- Control optimizationIn a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
    Structural Health Monitoring (SHM)
    Structural health monitoring is a tool used to ensure the safety and soundness of structures. Structural health monitoring uses an assortment of sensors to collect and analyze data pertaining to any damage or deterioration that a structure may receive over the course of its life. The data that structural health monitoring systems acquire can help its users avoid structural failures.Numerous structural health monitoring systems are available. They differ by cost, quality, purpose, and technology. They use many types of structural health monitoring devices and software systems to analyze the data retrieved from the devices. The type of structural health monitoring system that should be used is specific to the structure or structures being monitored.Structural health monitoring is used on structures such as bridges, skyscrapers, stadiums, wind turbines, ships, airplanes, and many others. 
    Warehouse Automation
    Warehouse automation is the application of specialized equipment and storage and retrieval systems to automation the performance of repetitive processes previously handled by unskilled and semi-skilled labor. A wide range of applications are possible in a warehouse, ranging from the use of robotics to unload products or crates to the automation of storage and retrieval of products on demand. Warehouse operations efficiency is central to the success of any company that processes, inventories, and ships orders. And warehouse automation is necessary to create an agile supply chain. The recent growth of the market is due to the exponential growth of the e-commerce industry, advancements in robotics, and the emergence of IoT. 
    Inventory Management
    Inventory Management is the management of inventory and stock. As an element of supply chain management, inventory management includes aspects such as controlling and overseeing ordering inventory, storage of inventory, and controlling the amount of product for sale.The role of IIoT in inventory management boils down to turning the data fetched by RFID readers into meaningful insights about inventory items’ location, statuses, movements, etc., and giving users a corresponding output.Moreover, inventory management solutions based on Industrial IoT can be integrated with other systems like an ERP  and share data with other enterprise’s departments.   
    Asset Health Management (AHM)
    Asset Health Management refers to the process of analyzing the health of an asset as determined by operational requirements. The health of an asset in itself relates to the asset's utility, its need to be replaced, and its need for maintenance. It can be broken down into three key components:Monitoring: Tracking the current operating status of the asset.Diagnostic Analysis: Comparing real-time data to historical data in order to detect anomalies.Prognostic Analysis: Identifying and prioritizing specific actions to maximize the remaining useful life of the asset based on analysis of real-time and historical data.
    Factory Operations Visibility & Intelligence
    Visualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle.Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.  
    Smart City Operations
    The goal of a Smart city is to improve the fundamental infrastructure by providing a decent quality of life, a clean and sustainable environment through the application of intelligent solutions. Smart cities can be used in eight sectors: Mobility, Security, Healthcare, Energy, Water, Waste, Economic Development,  Engagement, and community.  The Smart City Operations is an integrated system that enables the communication within the team and cross functions to optimize the efficiency of city operations and services. With real-time and transparent information, city officials are able to monitor what is happening in the city and how the city is evolving. 
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