Written by Moe Tanabian, Vice President and General Manager, Microsoft Azure IoT, Edge, AI
IoT technologies continue to evolve in power and sophistication. Enterprises are combining cloud-to-edge solutions to connect complex environments and deliver results never before imagined. In the past eight years, Azure IoT has seen significant growth across many industry sectors, including manufacturing, energy, consumer goods, transportation, healthcare, and retail. It has played a leading role in helping customers achieve better efficiency, agility, and sustainability outcomes. In 2021, Gartner positioned Microsoft as a Leader in the Gartner Magic Quadrant for Industrial IoT Platforms for the second year in a row. And Frost and Sullivan named the platform the Global IoT platform of the year. As computing becomes more distributed and embedded, this is a huge opportunity to unite IoT, Edge, and Hybrid, continuing our forward momentum while doubling down on our investments to date.
Companies commit to IoT to be future-ready
With the pandemic, economic changes, and rise of remote work, C-suite and IT leaders have had to rethink what it means for their organization to be “future-ready.” Here are a few Azure IoT customer stories and the solutions they have deployed to solve critical business challenges.
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Manufacturing companies like Inventec, a Taiwan-based electronics company, combined 5G, AI, and IoT to create scalable smart factories which were so successful that the company began selling the solution to other manufacturing companies. Norway-based TOMRA developed a sensor-based system that can process up to five billion data points per day, enabling faster and more accurate materials recycling. Monarc merged AI, IoT, and programmability to create the “world’s first robotic quarterback,” which allows any player on a football team to build specific skills without having to involve an entire squad.
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Energy providers are equally diverse in what “future-ready” looks like. XTO Energy, a subsidiary of Exxon Mobil, used Azure IoT to monitor and optimize oil fields. Allego based their fast-growing EV charging infrastructure on Azure database as a service (DBaaS) knowing that their tools and technologies will need to scale exponentially. E.ON built a platform based on machine learning and IoT to monitor and redistribute energy across an entire district/city grid to drastically reduce energy usage. Metroscope developed large-scale digital twin solutions for energy production plants that monitor and analyze industrial assets to gain greater operational insights in reducing emissions.
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