OK-INSAID – OPERATIONAL KNOWLEDGE FROM INSIGHTS AND ANALYTICS ON INDUSTRIAL DATA

Abstract

OK-INSAID offers scientific, technological and applicative innovation thanks to the introduction of Big Data Analytics in the industrial context, thus helping to redesign existing production processes and business models. In addition, the project proposes a new analytics’ approach based on the coordination, collaboration, and synchronisation of existing analytics at the cloud and edge levels to develop new “cloud-edge" hybrid analytics for Industry 4.0. The main goal of the project is to make the big industrial data a practice in use within the production context. In this way it is possible to exploit the potential offered by modern Industry 4.0 plants and to pursue a competitive and technological advantage.

The project is financed by “National Research Programme 2015-2020“.

Activities

Generation, collection and integration of data
Handling and management
Extraction of information and insight aimed at producing value-added information
Development of artificial intelligence for data analysis and decision support
Data Security

In collaboration with...

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