AI can be used to interpret data from IoT information obtained from the physical world, analyzed using data science and AI.

The rapid expansion of data increases the volume of insights that can be extracted, enabling new business outcomes and opportunities. For example, on rotating machines (huge numbers of these exist), local sensors can monitor machine sounds to: 1.Detect early stages of failure before a breakdown occurs, 2.Show that a device is performing well, or 3.Indicate that a next-scheduled maintenance can be cancelled. Rotating machines become the foundation of a huge set of use cases. There are so many types of rotating machines, including where every electric motor in the world is found!

Learning about IoT helps IT decision-makers propose innovations that can drive improved business and personal outcomes. Implementing new solutions can save money and time, as well as improve safety and efficiency.

The smartphone is an obvious example of a smart device. It contains a user interface and sensors used by applications loaded on the device and is, therefore, a source of real-world data and a place to consume IoT insights. Other smart device examples include self-driving cars or sports and running watches, which collect and give feedback on runner data.

IoT is strictly an aspect of digitization (using data to drive a business), but in practice, the terms are used interchangeably with little consequence.

The Internet of Things is the concept of connecting any device (so long as it has an on/off switch) to the Internet and to other connected devices.