The Internet of Things (IoT) is an ever-expanding collection of Internet-connected devices — from smartphones to sensor-equipped industrial robots. They can transmit and receive data thanks to this connectivity, which allows them to perform a wide range of tasks for daily life and business. IoT has become so popular that researchers at the International Data Corporation (IDC) anticipate that by 2025, there will be 55.7 billion connected devices in use, with 75% of them connected to an IoT platform.
Many workplaces have embraced the Internet of Things. Irrespective of your industry, IoT devices are likely to play a part in your company’s success. IoT may be used in a variety of ways, from basic things like smart lightbulbs for a more efficient office environment, to more complicated things like a network of industrial equipment identifying quality control flaws in a manufacturing process. Despite this, just 73% of company data is used for analytics.
Most businesses fail to obtain and analyze information from IoT devices due to the enormous volume of data, obsolete or erroneous data gathering technology, and improper analytics methods.
The Artificial Intelligence of Things (AIoT) is a potent combination of connected devices and intelligent data processing algorithms. Here’s everything you need to know.
There are Two Categories of Artificial Intelligence of Things
AIoT Solutions That are Changing the World
To employ a proper AIoT solution, one has to understand the gadget’s performance requirements.
CPUs capable of doing data analysis closer to the network’s edge were previously scarce. However, the chip industry has made significant progress and is now lowering CPU costs while keeping great performance. The only problem that hardware makers have yet to address is CPU flexibility. Artificial Intelligence of Things solutions can take various shapes and applications, and hence have varying performance needs. To grow AIoT solutions, we need integrated circuits that can support a variety of computing functions, such as AI-driven data analysis, digital signal processing, and remote device control, among others.
Without a mobile app, there’s no way you could view your body composition data from a Bluetooth smart scale. And while Alexa is good at shuffling playlists on Spotify, if you need to book a flight, you’d better double-check the information from a PC or smartphone.
When integrated, IoT and AI help businesses maximize ROI on their IoT investments in a variety of ways, including:
By 2022, AI will be present in 80% of commercial IoT implementations. If you are considering implementing an IoT solution today, make sure it is AI compatible. If you’re developing a bespoke Machine Learning model, consider how it might benefit from IoT data and communication.
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