INTELLIGENCE
The final building block of IoT is intelligence. Sanjay Sarma, the MIT pioneer mentioned earlier in this text, touches on this when he says that “the I in IoT could just as well stand for Intelligence – the Intelligence of Things”.
We like to use the words smart and intelligent in IoT. We talk about “smart cars” or the “smart home”. What we mean with that is that we use computers to make decisions. Decisions can be very simple, such as deciding whether a car engine is overheating and informing you about that. Or they can be very advanced such as switching off the lights, lowering the indoor temperature, or switching of all devices automatically when you leave your home in the morning, saving you money on your energy bill.
Right now, most IoT products and services are closer to the first example, meaning that their intelligence is quite basic. They collect data and then notify you if there’s something you need to know. However, as IoT matures in the years to come, we will move further toward true intelligence, with things learning and adapting based on what goes on around them, which will enable them to make more and more smart decisions.
To understand the different levels of smartness and how we can keep on developing smarter solutions, let’s use another example:
You are driving your car on the highway in Death Valley, California and the temperature outside is 43ºC. Suddenly, a red warning light appears on your dashboard. It tells you that the engine is overheating. You decide to park and let the engine cool down.
Here we see a very basic form of the intelligence of things. A car manufacturer could just have put in a temperature reader in your car and let you decide for yourself whether your car engine is overheating. But most of us lack the knowledge necessary to decide whether it is or not. So manufacturers decided to put a computer in your car that would gather raw data on temperature from sensors placed in the engine, and use that data to decide if an engine is overheated or not.
Now, let’s take that system and make it even more intelligent: We decide to limit the maximum speed of the car to 30 km/h so that we minimize the risk of engine failure. If there’s a problem you can’t fix, we locate the car by using GPS, look for mechanics in your vicinity, and let you, the driver, know how to contact them. Furthermore, let’s say that you are part of our gold star program and are entitled to free service maintenance anywhere in the world. In that case, we can just notify our nearest affiliated mechanic automatically and they can dispatch a tow car without you having to contact them. We can even, relatively soon, start predicting engine failure before it happens so that you can put your car in for maintenance before your car engine ever starts to overheat.
In a similar way, we can take almost everything around us and figure out ways of making them more intelligent. Look around you and pick out an object. Now google that object together with “Internet of things”. Chances are, someone is working hard on adding intelligence to whatever you picked up.