Research project

AI-Cube Artificial Intelligence and Big Data CSA for Process Industry Users, Business Development and Exploitation (DIT.AD004.118)

Thematic area

Engineering, ICT and technologies for energy and transportation

Project area

Dati, Contenuti e Media (DIT.AD004)

Structure responsible for the research project

Institute of Electronics, Computer and Telecommunication Engineering (IEIIT)

Project manager

Phone number: 0498277960


AI-CUBE seeks to enhance the understanding of different digital technologies related to artificial intelligence (AI) and big data (BD) applied in process industries for all the SPIRE industrial sectors (cement, ceramics, chemicals, engineering, minerals and ores, non-ferrous metals, steel, water). Therefore, a close collaboration with industry is mandatory to achieve in-depth insights into possible application areas of AI for processes, technology, sensor applicability and assessment of their level of penetration.
The overall project approach is based on the development of a 3-dimensional conceptual matrix based on: 1) AI and BG technologies
2) Application areas (activities and industrial processes)
3) SPIRE sectors
AI-CUBE's main goal is to define a roadmap in AI and the use of BD for the process industry and their maturity level across the industrial sectors, including guidelines for implementation. Industrial stakeholders and associations will validate the consolidated roadmap ensuring solution feasibility and benefits for the European industrial community. A crosslinked vision over process industry sectors shall facilitate cooperation and boost technologies deployment at their


The AI-CUBE project aims to tackle this challenge and leverage on this
opportunity, by identifying the use and penetration of AI and BD in
each of the process industries and organisational processes, as a
basis for cross-sectorial knowledge and technology transfer and to
design business case-oriented roadmaps for the European process
industries of the future. the specific objectives of
AI-CUBE are:
1. draw AI and BD map where good
practices are available within the different organisational processes
across the eight SPIRE process industries,
2. identify good practices to build on towards future AI and
BD business cases and define the RD&I actions needed in a roadmap per
sector; 3. detect the white spots of AI and BD solutions, that can be
covered by good practices from other process industries, and outline
the roadmap towards adapting good practices for other sectors; 4.
define the data requirements, skills and RD&I requirements for future
AI and BD business cases to emerge within the different process
industry sectors.

Start date of activity



AI, big data, multi agent system

Last update: 01/10/2023