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Powered by 5G technology, the IoT has become one of the most important technologies of the 21st century.

Now that we can connect everyday objects—kitchen appliances, cars, thermostats, baby monitors—to the internet via embedded devices, seamless communication is possible between people, processes and things.

By means of low-cost computing, the cloud, big data, analytics and mobile technologies, physical things can share and collect data with minimal human intervention. In this hyperconnected world, digital systems can record, monitor, and adjust each interaction between connected things.

In other words, the physical world meets the digital world—and they cooperate.

IoT Intelligent Applications are prebuilt software-as-a-service (SaaS) applications that can analyze and present captured IoT sensor data to business users via dashboards.

IoT applications use machine learning algorithms to analyze massive amounts of connected sensor data in the cloud. Using real-time IoT dashboards and alerts, you gain visibility into key performance indicators, statistics for mean time between failures, and other information. Machine learning–based algorithms can identify equipment anomalies and send alerts to users and even trigger automated fixes or proactive counter measures.

IoT has also opened up new opportunities for individuals and organizations. Take edge computing. The primary objectives of edge computing have been to address the bandwidth costs for the growth of data generated by IoT. However, those objectives are expanding with the increase in real-time applications that require edge computing processing to further drive the technology.

Edge Computing is a type of cloud computing that allows IoT devices and web applications to run faster, ultimately reducing bandwidth pressure and network congestion to improve service quality and resilience.

With this technology, information can be managed at high speed on the device itself and operational settings can be implemented in real time. As networks become increasingly congested with large volumes of real-time data generated by users, mobile and IoT devices, industry leaders say edge computing produces better performance, greater efficiencies and knowledge.

All of which leads to better business results.

Standards for IoT are set by the 3rd Generation Partnership Project (3GPP). 

Want to learn more? Tonex offers 5G and IoT Training, a 2-day course that helps participants develop new skills to plan, model, design, operate, and control 5G and IoT systems. You’ll learn how to apply fundamental 5G and IoT concepts and principles to the real world challenges.

Our other IoT courses include:

Industry 4.0 Training (2 days)

IoT Security Training, The Internet of Things Security (2 days)

IoT Training Crash Course (3 days)

LTE-M and NB-IoT Crash Course (2 days)

The Internet of Things Training, IoT Training  (2 days)

Introduction to IoT and 5G Training (2 days)

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