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PTC’s bet in AR and IoT is paying off
KATHLEEN MAHER | June 24, 2019
The industry’s most comprehensive and accurate mobile device locationing technology. AirPatrol by Sysorex is the only mobile device detection and locationing system that works with Cellular, WiFi and Bluetooth.
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.
Article | February 15, 2020
The term ‘connectivity’ is no more confined to laptops and smartphones, as we’re witnessing a transition towards smart cities, smart homes, smart retail, connected cars along with connected healthcare to name a few. In this arena where advanced technologies have been blooming at a tremendous rate, IoT is also catching up. IoT has been one such technology that is going to have an impact not only today but also in the coming future. The base for IoT is designed for storing and processing IoT data and is the core of all IoT-related devices and solutions. The base has been set in such a way that it provides an intake of huge volumes of data generated by sensors, user websites, applications and then accordingly initiates actions based on real-time responses and analytics.
Article | May 19, 2021
In the wake of the COVID-19 pandemic, manufacturing is roaring back to life, and with it comes a renewed focus on Digital Transformation initiatives. The industry stands on the doorstep of its much-anticipated renaissance, and it’s clear that manufacturing leaders need to not only embrace but accelerate innovation while managing critical processes like increasing capacity while maintaining product quality. Effective collaboration will be key to doing both well, but it’s even more critical as workforces have gone and are still largely remote.
As the virus swept the globe, it became apparent quickly that there would be winners and losers. Many manufacturers were caught off-guard, so to speak. Before manufacturing’s aforementioned reckoning, the industry had already been notorious for its slow adoption of the digital, data-centric mindset that has transformed other industries.
Article | February 27, 2020
Artificial intelligence (AI) has existed in the public consciousness for decades. The (mostly) sentient machines playing the villains in Hollywood movies have never been realistic depictions of the technology, but they have left an impression, nonetheless. AI has proved as exciting to the layman as it is to the expert. Usually based in remote data centers, AI is capable of collecting and examining immense volumes of data, generating insights based on analytical algorithms. With varying degrees of autonomy, these capabilities have been put to use streamlining decision-making processes. While AI is often thought of as a product in its own right, it is increasingly intersecting with other parallel trends. Chief among these is the Internet of things (IoT), which enables previously isolated machines to “talk” to one another and, at the same time, generate data that makes new modes of operation a possibility.
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