Few industries have been disrupted by emerging technology quite like retail. From exploding online sales to the growth of mobile shopping, the industry has made a permanent shift to accommodate digital consumers.
Since releasing Microsoft Azure IoT Edge, we have seen many customers using IoT Edge automatic deployments to deploy workloads to the edge at scale.
Over the past ten years, Microsoft has seen embedded IoT devices get progressively smarter and more connected, running software intelligence near the point where the data is being generated within a network.
Accenture and Avanade won the 2019 Microsoft Internet of Things Partner of the Year award this past spring. At the Microsoft Inspire partner conference in July, Brendan Mislin, Managing Director, Industry X.
Artificial intelligence (AI) workloads include megabytes of data and potentially billions of calculations. With advancements in hardware, it is now possible to run time-sensitive AI workloads on the edge while also sending outputs to the cloud for downstream applications.
Petrofac designs, builds, operates and maintains oil, gas and renewable energy assets. The company is committed to digital transformation.
The pace of change has never been as fast as it is now. Globally, the population is becoming more urban and income levels are rising. By 2050, nearly 70 percent of the global population will live in cities or urban areas—that’s six billion people.
Whether it’s in self-driving vehicles, mixed reality, or smart buildings, the autonomous edge has incredible potential to transform our lives for the better. In this post, we’ll review four challenges to a smarter edge, and how to get started with Azure IoT Edge.
As a leader in the IoT cloud ecosystem, Microsoft enables a full stack of business applications, within different industries, across the intelligent edge and intelligent cloud. The continued growth of the IoT industry is going to be a transformative force across all organizations.
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