AI vs. IoT: What’s the Difference?

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While Artificial Intelligence (AI) and the Internet of Things (IoT) are both hot topics, they are not the same. They have differences but at the same time are connected and related. Artificial intelligence is a type of science that works to imitate intelligent behavior in computers.  Internet of things is the internet-working of devices like homes, sensors, cars, and home appliances that can communicate together and often with the external environment like other cars, devices and human beings. 

Some of the differences between AI and IoT include interaction with cloud computing, scalability, cost, and ability to learn from data. For example, with cloud computing, IoT generates significant amounts of data and cloud computing provides a pathway for that data. On the other hand, AI intersects with cloud computing in the sense that it allows the devices to act and react in a way more similar to the human experience. 

In terms of learning from data, in IoT, there can be multiple sensors, and each has some set of processes where identical information is shared on the internet, but in AI, the system actual learns from the activities or errors occurring to try to evolve into a better version of itself. As it relates to cost, IoT generally costs much less than $50K USD with all components involved from hardware to infrastructure, whereas with AI the charges are typically are calculated for each case and can vary substantially based on complexity and industry. 

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IoT focuses on connecting machines and making use of the collected data while AI is about mimicking intelligent behavior in machines. As the devices powered by IoT continue to grow, AI can help by dealing with the big data by making sense of it. That being said, IoT can exist without AI. And, AI can exist without IoT. But, data is only useful to humans if it creates insights that can be acted upon. Using IoT and AI together create connected intelligence. 

A use case of IoT and AI working together is Tesla Motors self-driving cars. In this example, the car is the “thing,” and the power of AI is used to predict the behavior of a car in a variety of environments. The Telsa cars operate as a network meaning that when one car learns something, all the cars can then learn something.  

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There are several data scientists that believe the future of IoT is in the AI. Undoubtably, when the two are combined the value delivered can increase for the customer, as well as the organization.

#BigData #IoT #AIA