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AIoT applications prove the technology's adaptability Posted on : Aug 01 - 2020

The combination of artificial intelligence and IoT has led to better predictive capabilities for devices, informed data storage, and enterprise machine optimization.

The relatively recent combination of AI and IoT into the artificial intelligence of things (AIoT) has added a level of actionable insight to the traditional IoT.

The internet of things, a system of interrelated computing devices and machines that can transfer data over a network without human interaction, has been used to enable new features, better functionality, and real-time status monitoring for consumers. Combining this with ever-developing AI advancements is allowing organizations to predict changes and optimize their devices. AIoT allows an algorithm to improve communication and apply predictive capabilities to give companies advantages over their competition.

What is AIoT?

AIoT is the addition of artificial intelligence to the devices within the internet of things your organization deploys. The addition of AI and machine learning allows for machines to make a variety of decisions.

"AI is utilized to deliver more capabilities for the connected device, by moving from purely programmed/algorithmic responses to dynamic decisions, empowered by machine learning," said Tolga Tarhan, CTO at Rackspace Technology, an information technology and services company based in Texas.

Replacing programmed responses with the adaptability and flexibility of machine learning allows for more organizational readiness, since a combination of AI and IoT allows an organization to improve their decision-making and reduce latency by having their interconnected devices gather data and better understand their needs and weaknesses.

Oftentimes the intersection between the two, where AI systems use sensor data from IoT devices, occurs at the edge of the network where AI processes the data at each device. Therefore, its use cases are more likely to be found in individual devices spread throughout a home or factory.

Applications of AIoT

The applications of augmented AIoT cuts across end-user computers and personal devices to enterprise machinery. In the customer space, the combination of AI and IoT has found a home in smart appliances, security cameras and home management systems like the thermostat. By connecting these devices together and adding a level of intelligence, product users can better understand what their homes need.

Smart home surveillance cameras apply AI to decide what is worthy of being sent to the cloud. Image detection software can identify a normal setting, and only send, alert and store video that introduces something new, i.e., aperson or a tree falling, that is out of the normal scope of the picture. Video streams require large bandwidth and having cameras decipher what is significant can reduce the drag on the system as well as save time for the viewer. Smart appliances can understand when supplies (certain food or drink products) are low and alert the user via connected devices. View More