AI, in all its forms, and IoT are two of the most important technology enablers impacting the human race. When they converge, real magic happens, because AI and ML excel at processing data where humans simply cannot, and the sheer size and complexity of IoT data dictate that, without advanced analytics, IoT data is probably not worth the effort.
Enterprises are just now beginning to recognize the transformation possibilities of applying ML to the data that runs through and around their business, including, of course, IoT.
Both AI and IoT share underlying enablers such as the powerful computing capacity available in cloud and edge platforms.
We have entered a wonderful era of democratization of both, via easy-to-use platforms that allow non-data-scientists to work with AI or business applications that come with ML and IoT data as part of legacy IT/OT applications such as enterprise asset management or factory floor control solutions, or as part of a predictive maintenance service on an industrial machine.
The types of use cases at the intersection of AI and IoT include incredible innovations such as Wi-Fi traffic signal noise to create motion intelligence, worker safety solutions, predictive maintenance for machines and humans, self-driving cars, and building management solutions – the list goes on and grows larger every day.
Stay tuned for next week’s report, which will compare IoT vendor options.