The Internet of Things (IoT) is a growing market that is bringing an ever-increasing number of connected devices and innovative solutions that mix compute power, sensors, and other hardware with the physical world to provide monitoring, predictive, and automation functionality across both consumer and industrial applications. On the face, IoT simply means the Internet connecting compute devices to perform some kind of tasks, however, the modern world of IoT is much different than this original definition that is from the early 2000’s or even earlier in a time before the cloud.

In the modern world of the cloud, the Internet of Things means a bit more than building a system comprised of interrelated computing devices with the ability to transfer data over a network. With the cloud, these devices are being connected to vast amounts of compute and storage capabilities in the cloud that offer much greater analysis, prediction, and reporting features. This means that modern IoT solutions are capable of not just providing an automation layer that doesn’t require human-to-human or human-to-computer interaction, but they are also able to integrate Machine Learning (ML / AI), analytics, and real-time decision capabilities for building innovative solutions with a higher level of business value.

The Internet of Things (IoT) industry has continued to expand and permeate people’s daily lives over the past few years. There are many useful applications for IoT devices and solutions in both the consumer and industrial space. Some of the solutions we have become accustomed to are smart speakers, cameras, Amazon Alexa, and many more in the consumer space. There has even been a greater increase in the use of IoT in manufacturing and industrial applications as well. There are many of the concepts of building IoT solutions that apply to both consumer and industrial IoT solutions.

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