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Machine Learning

The main purpose of machine-to-machine technology is to tap into sensor data and transmit it to a network.

The main components of an M2M system include sensors, RFID, a Wi-Fi or cellular communications link, and autonomic computing software programmed to help a network device interpret data and make decisions.

M2M technology is all around us. It’s in our homes, on the commute to work, in the way that we shop, exercise and entertain ourselves.

  • Commuting : if your train is cancelled due to poor weather, a smart alarm clock would determine the extra time you’ll need to take a different route, and wake you up early enough so that you’re not late for work.
  • Smart homes : A connected thermostat can automatically switch the heating on when room temperature falls below a certain point. You might also have a remote-locking system enabling you to open the door to a visitor via your smart phone if you’re not at home.
  • Shopping : Based on your location, previous shopping experiences and personal preferences, your local supermarket could ping you a voucher for your favourite groceries when you’re in the area.

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