The Internet of Things has brought about a world based on connectivity, which allows devices to become smarter and more responsive. This technology opens up opportunities to create digital experiences based on physical objects. But while this technology makes devices smarter, the focus has now shifted to making IoT itself smarter as well. Artificial Intelligence of Things (AIoT) enabled devices have the potential to be autonomous.
It provides all the attributes of IoT devices, while adding device or local network reasoning. This allows for the ability to process input and generate data based on usage and provide conclusion through rules, inference, and reasoning. Devices will have better efficiencies, new capabilities, and increased collaboration through decentralized AI.
We will see an earlier impact on consumer devices, as personal smart devices become Ai-enabled. Both in the smart home and automotive industries there is already increasing adoption of AIoT. The market is expanding with new home security systems, appliances, and other devices that incorporate reasoning and learning in their functionality. The technology once found only in high end luxury products has now made its way into large scale production and is getting progressively cheaper.
Outside of the consumer market adoption becomes trickier to see. We are aware of the devices around us getting smarter, but we are less aware of smart cities. Most people have no idea of the impact AIoT has had on energy grids, streetlights, public transportation, and other services. Amazon is one of the examples where people are aware of AIoT’s impact behind the scenes in industry. Amazon has been at the forefront of automation for years, from shipping to their product suggestion. People have had many opportunities to learn how their lives are being made simpler through technology.
The fundamental technology that makes all of this work more efficiently is Decentralised AI. It is a model that allows process isolation without the downsides of aggregate knowledge sharing. This enables independent information processing among various computing devices. Using this autonomy, decentralised AI will provide a structure to explain how things work. All the while AIoT devices will be able to harness this power to grow smarter, more efficient, and more personalised.
There is incredible potential behind AIoT across business, sciences, and society. AIoT will continue to change the way we interact with the world, but this will be influenced by how widespread adoption is seen. To achieve this, you first need to devise the best use of AI for a given device. Then, you need to watch for technological challenges and processing power requirements. Unless these issues are addressed correctly true adoption of AIoT will never be a reality.
AIoT will ultimately be a replacement for many IoT devices. Where AI is not needed it will be prudent for the devices to remain in a state of directed action. But even devices stuck in stasis will need to adapt to incorporate levels of reasoning. There is too much potential behind AIoT to allow other devices to be stuck in a never-ending loop.