Internet of Things
Internet of Things is becoming ever-more central to the Industry 4.0, which is set out to create environments where all objects are interconnected and can communicate with each other.
Dataskills helps firms dealing with the Internet of Things in three main ways:
- Big Data: each IOT device generates a huge amount of data, that often have non-traditional structures and thus require specific analytical tools
- Business Intelligence: it is fundamental to have an architecture which is able to store and manage Big Data produced by IOT systems
- Predictive Analytics: smart devices generate a lot of information which can be exploited by advanced analytical models
What is the Internet of Things?
The Internet of Things is the extension of all those possibilities given us by the internet to traditional objects, meaning things and places that were originally created without any technological characteristic.
Through sensors mounted on top of daily-used objects, we can register in semi-real time all those information generated by the object itself: how it has been used, which climatic conditions it is in, status of the main components (temperature, pressure,etc)
The huge amount of data we collect in this way can be transformed into valuable information if reorganized through an efficient Business Intelligence Infrastructure, and analysed via Predictive Analytics tools.
Some use cases:
- lights and energy
- fitness trackers and smart watches/devices
- smart devices for sight/touch/hearing deficiencies
- smart parking
- smart recycling
Industrial internetremote machine control
Connected carsRemote vehicles control
Smart gridSmart plugs
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