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The IoT concept is evolving. Although there are currently 20 billion connected devices worldwide, IoT has yet to show its true potential. Not only is the number of these connected devices destined to double in the foreseeable future, but the real challenge to face is putting more intelligence inside devices already plugged into the network such that they are able to adjust their response in a changing context without human intervention.

The endgame is always the same: better business, better strategy. This is why we need useful information to improve products, services, and experiences, or to invent new ones.

This type of information is produced from a number of applications integrated into a coherent environment that consists not only of software, but also sensors and physical artifacts, governed by artificial intelligence models. In short, this is machine learning for the IoT.

And we go beyond the so-called Industry 4.0. Our IoT case studies range from healthcare scenarios (systems preventing the fall of patients with neurological diseases) to logistics (vehicle tracking for the automotive industry) to mass retailers (IoT for smart retail management).