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CORDIS - Forschungsergebnisse der EU
CORDIS

Artificial Intelligence and Big Data CSA for Process Industry Users, Business Development and Exploitation

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

AI & BD technologies state-of-the-art review (öffnet in neuem Fenster)

Report describing the current status of AI and BD technologies and their application degree in industrial environments

Dissemination Plan (öffnet in neuem Fenster)

Report on the dissemination strategy and plan.

Review and update of the identified macro applications areas plan (öffnet in neuem Fenster)

Review and update of the proposed plan for the consolidated macro applications areas in process industry

AI-CUBE roadmap (öffnet in neuem Fenster)

Report gathering the results of D42 translated into a roadmap serving as a guideline in the implementation of AI and BD technologies tailored to all the SPIRE sectors

Gaps and opportunities analysis - recommendations and business models (öffnet in neuem Fenster)

Report analysis of the current situation of the SPIRE industry its implemented AI and BD technologies and degree of penetration and the main existing business models in use in order to highlight opportunities and challenges regarding the implementation of new datadriven technologies and the impact on new business models

Sectorial analysis of industrial processes in Europe (öffnet in neuem Fenster)

Report summarising the most relevant industrial processes per process industry sector in Europe highlighting major challenges where AI and BD could play a relevant role

Project Management Plan (öffnet in neuem Fenster)
A - Report on Dissemination, Communication & Exploitation activities (öffnet in neuem Fenster)

Report on AI-Cube dissemination, communication and exploitation and reports the related activities conducted until month 12.

Report on the assessment of impact (öffnet in neuem Fenster)

Report on the development of a system for assessing impact of AIBD as developed in T23

Quality Management Plan (öffnet in neuem Fenster)
New paths of collaboration for ELSI (öffnet in neuem Fenster)

Report on the revision of the ethical legal and social implications of AI and BD developments

Framework for AI & BD maturity level assessment (öffnet in neuem Fenster)

Description of the framework for the maturity assessment developed in T2.2.

B - Report on Dissemination, Communication & Exploitation activities (öffnet in neuem Fenster)

Report on AICube dissemination communication and exploitation and reports the related activities conducted until month 30

Report on implemented collaboration mechanisms (öffnet in neuem Fenster)

Detailed summary of all initiatives put in place with stakeholders minutes of the meetings interviews etc as from T21

Business Model Game development (öffnet in neuem Fenster)

Development of a Business Model Game including the design of the tool strategy and rules.

Veröffentlichungen

AI and BD in Process Industry: A Literature Review with an Operational Perspective (öffnet in neuem Fenster)

Autoren: Rosanna Fornasiero, David F. Nettleton, Lorenz Kiebler, Alicia Martinez de Yuso, Chiara Eleonora De Marco
Veröffentlicht in: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part V, Ausgabe 634, 2021, Seite(n) 576-585, ISBN 978-3-030-85913-8
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-85914-5_61

Developing a maturity-based workflow for the implementation of ML - applications using the example of a demand forecast (öffnet in neuem Fenster)

Autoren: Schreckenberg, F., & Moroff, N. U.
Veröffentlicht in: Procedia Manufacturing, Ausgabe Volume 55, 2021, Seite(n) 31-38, ISSN 2351-9789
Herausgeber: Elsevier
DOI: 10.1016/j.promfg.2021.07.006

Preliminary analysis on data quality for ML applications (öffnet in neuem Fenster)

Autoren: Kiebler, Lorenz Moroff, Nikolas Jacobsen, Jens Jakob
Veröffentlicht in: Hamburg International Conference of Logistics (HICL) 2022, Ausgabe 33, 2022, ISBN 978-3-756541-95-9
Herausgeber: epubli
DOI: 10.15480/882.4693

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