WHAT IS IT IOT?.
The Internet of Things (IOT) is a possible evolution of the use of the Net: objects (the “things”) become recognizable and acquire intelligence thanks to the fact that they can communicate data about themselves and access aggregated information from others. The alarm clocks sound first in case of traffic, the sneakers transmit times, speed and distance to compete in real time with people on the other side of the globe, the jars of the medicines alert the family if you forget to take the drug. All objects can take an active role by connecting to the network.
For “thing” or “object” we can more precisely understand categories such as: devices, equipment, systems and systems, tangible materials and products, works and goods, machines and equipment. These connected objects that underlie the Internet of Things are more properly defined as smart objects and are characterized by some properties or functionalities. The most important are identification, connection, location, ability to process data and ability to interact with the external environment.
The goal of the IOT is to make the electronic world draw a map of the real one, giving an electronic identity to the things and places of the physical environment. Objects and places equipped with labels Radio Frequency Identification (Rfid) or QR Codes (QR Code) communicate information on the network or mobile devices such as mobile phones.
There are many fields of applicability: from industrial applications (production processes), logistics and infomobility, to energy efficiency, remote assistance and environmental protection.
The use of Machine Learning is necessary, and indeed fundamental, only in case of large quantities of heterogeneous data that change rapidly: and this is one of the fundamental characteristics of the IoT. In this case, in fact, the purpose of Machine Learning is not just the analysis of the data itself, but is to find the determining factors (which are not yet known) to achieve the goal we want to pursue. The machine will learn by itself which variables are important and which are not for achieving the purpose, and will improve its results at each subsequent analysis: in this way it will also be able to predict future events with ever greater precision, a feature that is often exploited in ‘IoT.