@inproceedings{f3ba00d3b10a42b5bed17b55a7cf18e3,
title = "Making sense of manufacturing data",
abstract = "A fast and successful digitation of the industry is meant to be a key issue for Europe in order to maintain its leading role. The new industrial revolution will be based on data as raw material, where the digital economy will merge as a real economy. The challenges for a {"}hard{"} sector where traditionally the {"}soft{"} has not been considered as an asset are evident and notorious. In this paper IK4-IDEKO, as part of a machine tool builder group, DANOBATGROUP, provides a vision of the challenge and the approach for the solution, supported by results of the current work.",
keywords = "Big data analytics, Data science, Digital factory, Industry 4.0, Smart manufacturing",
author = "Gerrikagoitia, \{Jon Kepa\} and Gorka Unamuno and Anne Sanz",
note = "Publisher Copyright: Copyright {\textcopyright} 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 13th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2016 ; Conference date: 29-07-2016 Through 31-07-2016",
year = "2016",
doi = "10.5220/0005999005900594",
language = "English",
series = "ICINCO 2016 - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics",
publisher = "SciTePress",
pages = "590--594",
editor = "Oleg Gusikhin and Dimitri Peaucelle and Kurosh Madani",
booktitle = "ICINCO 2016 - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics",
}
