The future state of the AI technology in IoT is complete, efficient automation. AI will learn to use industrial equipment better than humans and, as a result, replace human operators.

The future of AI in IoT is a world filled with so much data that we can know exactly what is going on everywhere at once and optimize the general state of things. Kind of like a human nervous system, but for the entire planet.

Soon, AI will automate routines for IoT. For example, when you turn on your lights and TV together, it will create scenes for automation. Additionally, AI could use sensors to generate shopping lists.

In the last century, electricity fueled the industrial revolution, giving us powerful factories and machines. Today, IIoT and AI software are bringing them to life in new and unexpected ways.

The future of IoT and IIoT is in manufacturing user experiences that deliver advanced analytics and data visualisation. This will be achieved through collaboration of computer science and data science.

Industrial companies in energy & engineering sector are trying to find practical applications on the ground for AI & IoT which are impacting a measurable financial outcome and running early adopter pilots

AI is rapidly penetrating Edge Computing, particularly in IIoT. Analytics and Machine Learning is already prevalent in Edge devices and the next logical step is AI to further optimize processes.

As consumers adopt IoT devices that monitor day-to-day activities, AI will be used to enhance the understanding of their interest graph, bringing in real-world preferences to exponentially improve its recommendations.

AI is already being integrated into IoT and even IIoT, where the machines and products are able to diagnose themselves and interact with their human operators.

I see AI systems in the near future controlling, navigating and maintaining IoT devices and products. One category in particular, drones and how they are managed. With thousands of drones in the sky, AI will need to carry the weight and manage these systems on a grand scale.