Simplifying IoT With Digital Twins

W. ROY SCHULTE | January 28, 2019

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Trucks today are computers on wheels. Thanks to modern telemetry systems and other technologies they are constantly communicating data points, such as location, motion or engine status, to various business units and systems of their organization. The problem: Trucks often send multiple messages containing the same data over multiple channels at different times. Fleet management needs the same information on fuel consumption as the team for truck maintenance, and both have their own separate copy of the data — sometimes even separate channels to transfer the data. The rise of digital twins coincides with the rise of the IoT. The traditional approach wastes effort and resources because the data is overlapping and redundant. Additionally, it’s very complex and expensive to establish a new channel for every new application that needs to access the data.

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OTHER ARTICLES

Cloud vendors jostling for share of IoT analytics

Article | March 1, 2020

ABI Research says cloud vendors are investing in the data and analytics services space as they attempt to get on board the IoT value chain. The researcher forecasts that cloud suppliers will grow their share of IoT data and analytics management revenues from US$6 billion in 2019 to US$56 billion in 2026. Cloud vendor’s revenues come primarily from streaming, storage, and the orchestration of data. Analytics services across cloud vendors, on the other hand, are less differentiated, as reflected in pre-built templates such as AWS Sagemaker and Microsoft Azure Notebooks which leverage the open source Jupyter project. Considering that many cloud vendors are in the early stages of analytics investment, cloud vendors are relying on their partners for addressing more specific advanced analytics and vertical market needs.

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Cloud suppliers' share of IoT data and analytics revenues to top $56 billion by 2026

Article | February 26, 2020

A new report from ABI Research predicts that cloud platform suppliers will see a more than $50 billion increase in their share of IoT data and analytics revenue by 2026.Companies providing cloud services have spent years building out their investments in the IoT space and continue to make headway in spreading cloud usage throughout the IoT value chain. The figures come from ABI Research's IoT Analytics and Data Management Services Strategies of Major Cloud Suppliers application analysis report, which examined the competitive outlook of the cloud vendor market and recent acquisitions. The report takes an in-depth look at how leading cloud providers like AWS, Azure, Oracle, Cisco, Huawei, SAP, Google, PTC, Cloudera are positioned in the IoT market and it compares the tools and services offered by each company. It is designed to help IoT companies figure out who the market leaders are, which cloud platforms would be most relevant for their particular industry and revenue forecasts from 2019 until 2026 for IoT integration, storage, analytics, presentation and professional services.

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The Internet Of Things is all over HVACR. Is the value there yet?

Article | March 23, 2020

AHR Expo used to be mostly a “mechanical engineering” event, and even in 2017, when I first got there, there were just a few companies who mentioned IoT or connectivity at their stands. Only the most prominent players in the HVACR industry presented their IoT solutions. In my conversations with companies at that time, no one was taking IoT very seriously. And it’s understandable, there already were Modbus, BacNet – well-defined protocols to connect machines to a PC or PLCs to make them work in unison without any Clouds and external access.

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Run-Time Provisioning of Security Credentials for IoT Devices

Article | March 20, 2020

To prevent counterfeit devices from joining a network or to limit the opportunity for network attacks, it’s important to authenticate devices attempting to join Internet of Things (IoT) networks and subsequently connect only authorized devices. The standard mechanism to securely authenticate clients connecting to a server is transport-layer-security (TLS) client-side authentication. To implement such authentication in an IoT network, the appropriate certificate authority (CA)—usually the IoT device provider—issues a unique X.509 certificate to each IoT device and the associated private key that functions as a unique security credential for the IoT device. Once the certificate and associated private key are stored on the IoT device, it may use them during the TLS client-authentication process to securely join the IoT network.

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