Abstract
Everyone, knowingly or not, is in a position to generate data at all times in our lives. Mainly in the professional life, where the production of data is addressed and aimed at achieving a series of objectives, and in social and personal life where the production of data, direct and indirect, is equally important although not always clearly identifiable. Always and in any case, the representation of our actions in digital contents or the analysis of our behaviour as consumers, just to give two examples, are a common denominator of our relationship with the digital framework which has a direct impact at the level of relationship with companies or with public administrations. In the business, the most appropriate example today is that of Industry 4.0 which with the virtualization of the processes and products themselves is allowing companies to explore novel paradigms of innovation that were once unthinkable.
Original language | Undefined/Unknown |
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Pages (from-to) | 5924-28 |
Journal | IEEE Transactions on Industrial Informatics |
Volume | 16 |
Issue number | 19 |
Early online date | 2 Apr 2020 |
DOIs | |
Publication status | Published - 1 Sept 2020 |
Keywords
- data science
- industry 4.0
- machine learning
- Internet of things
- deep learning
- industrial revolution