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In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics. As data science is a broad discipline, I start by describing the different types of data scientists that one may encounter in any business setting: you might even discover that you are a data scientist yourself, without knowing it. As in any scientific discipline, data scientists may borrow... [Lire la suite]

Keolis Rennes has launched an experiment to facilitate the mobility of disabled persons by connected sensors. An innovation that is part of Keolis's desire to use the full potential of the Internet of Objects to enrich the customer experience and strengthen the Group's operational performance. A Keolis innovation to find a parking space reserved for disabled persons in real time Since July 2016, two car parks of the city of Rennes, one outdoor, the other underground, are equipped with sensors of car detection installed in places... [Lire la suite]

While technology like the connected car has been hyped for years, the growth for all Internet of Things (IoT) applications across all sectors is growing exponentially. Gartner projects all of these connected things will grow from 4.9 billion in 2015 to 25 billion by 2020, and this includes cars. By looking at connected car functionality and architecture, we can get a better understanding of all IoT platforms. To simplify, there is a fairly consistent set of IoT components—sensors, mobile or device apps, big data stores, data... [Lire la suite]