The number of real-world Internet of Things (IoT) deployments continuously and steadily increases while the capabilities of single IoT devices cannot yet be exploited for the purpose of Artificial Intelligence.[1]

Statistics show that a massive 64 billion IoT devices can be anticipated by 2025. When it comes to the latest IT industry technologies, Artificial Intelligence and the Internet of Things are frequently at the top of the list. It is no surprise that these technologies complement one another so well. The duo has revolutionized traditional industrial and corporate solutions.[2]

Figure 1. IOT Empowered AI Applications

Figure 1 shows the most of us now spend a lot of time in offices as part of our daily routines, and smart gadgets are a part of both. In order to increase work efficiency, IoT and AI devices are frequently utilised for tasks including meeting scheduling, risk management, adjusting room temperature, and website monitoring.[3]

IoT devices make it simple to manage these activities without occupying much of your time. You may quickly streamline the process with these clever tools. Efficiency is important in every industry, but it is especially important in one that is evolving quickly, like a mobile-based business.[3]

Artificial intelligence (AI), especially deep learning, is now a proven success in various areas, including computer vision, speech recognition, and natural language processing. AI introduced into the IoT heralds the era of AI of things (AI IoT). This article presents a comprehensive survey on AI IoT to show how AI can empower the IoT to make it faster, smarter, greener, and safer. [4]

The internet of things (IoT) and artificial intelligence (AI), these two quite different technologies, can together present commercial solutions. In order to deliver reliable results, AI algorithms presently need very limited data. Combining IoT and AI can help us create Intelligent Machines. These intelligent automation technologies not only aid in the automation of mundane chores but also in the making of decisions with no human intervention.Industries using these two technologies can help automate several processes and reduce operating costs, reduce downtime, increase productivity, and facilitate predictive maintenance.[2]

References:

1. https://ieeexplore.ieee.org/abstract/document/8766355
2. https://www.antino.com/blog/top-9-iot-trends/
3. https://blogs.perficient.com/2022/08/01/empowering-iot-with-ai/
4. https://ieeexplore.ieee.org/abstract/document/9264235

Cite this article:

Janani R (2023),IOT Empowered AI Applications, Anatechmaz, pp.197