WELCOME TO The THE INTERNET OF THINGS REPORT
Extending the reach of IoT: Windows 10 comes to Raspberry Pi 2
BARB EDSON | March 1, 2016
We make cars smarter by connecting them to the cloud and allowing the car and its driver to make decisions based on real time data.
Article | April 6, 2020
Scaling Industrial IoT (IIoT) solutions requires a DevOps organization that can manage increased software and hardware complexity in terms of capability, capacity and footprint. DevOps is derived from Development and Operations and is one of the buzz words for ICT companies. Often it is the amalgamation of Software Developers from R&D and senior engineers from Operations into a new organization. Startups are faced with the challenge of how to quickly create a functioning DevOps organization that can scale with rapid growth. In this article, we will deal with the keys for success to scale software solutions with using an example of an Industrial IoT solution. We will look at how DevOps should function and discuss the important principles for software development, tools and operations.
Article | March 20, 2020
Workers in construction, agriculture and manufacturing are reported to have the highest incident rates, according to the 2018 research of the US Bureau of Labor Statistics. Medical expenses for work-related injuries are scoring millions of dollars each year. In recent years, businesses have increasingly opted for industrial IoT solutions that offer advanced monitoring capabilities designed to predict and prevent incidents. In many situations, smart monitoring can save lives in the event of equipment misuse or failure, inefficient safety regulations and health-threatening sites.
Article | March 5, 2020
An integrated Azure IoT solution provides the necessary software, hardware, and cloud services that businesses need to rapidly launch IoT initiatives and quickly realize business value. Using software-based intelligence pre-loaded onto Cisco IoT network devices, telemetry data pipelines from industry-standard protocols, like OPC-Unified Architecture (OPC-UA) and Modbus, can be easily established using a UI directly into Azure IoT Hub. Services, like Microsoft Azure Stream Analytics, Microsoft Azure Machine Learning, and Microsoft Azure Notification Hub services, can be used to build IoT applications for the enterprise. Additional telemetry processing is also supported by Cisco through local scripts developed in Microsoft Visual Studio, where filtered data can also be uploaded directly into Azure IoT Hub. This collaboration provides customers with a fully integrated solution that will give access to design tools, global connectivity, advance analytics, and cognitive services for analyzing IoT data.
Article | February 28, 2020
While the Industrial Internet of Things (IIoT) is maturing rapidly, there’s often a strong link to Artificial intelligence (AI) and Machine Learning (ML) tools to manage data flows. This raises a host of challenges including connectivity, security, storage and modeling requirements. Designers of IIoT devices and larger deployments must build in contingencies for shifts in these areas or risk falling short. While IIoT is gaining in maturity, the overall market still has many challenges to overcome. Some of these challenges are technical barriers to IoT device operation, such as connectivity standards and battery technology, but the picture is even wider than that. The world of IIoT not only requires IoT hardware to operate reliably and efficiently in all environments but also relies on supporting networks and services too. The result is that IIoT deployments cannot be viewed as isolated technology upgrades or productivity drives, but highly interconnected ecosystems sensitive to a wide range of variables – in particular the developing world of AI.
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