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CORDIS - Résultats de la recherche de l’UE
CORDIS

AI on-demand platform for regional interoperable Digital Innovation Hubs Network

Livrables

AI DIH Regional Experimentations Report M21

This report includes the achievements and lessons learned from the regional experiments to be also shared with AI4EU platform

AI DIH Regional and cross-Regional Scenarios M24

AI DIH Regional and cross-Regional Scenarios M6 – M24 R. This report includes the description of the business/innovation scenarios in the Regional and Regional-European experiments, the methodology adopted, as well as the definition of as-is and expected to-be KPIs, including AI Ethical KPIs

DIH4AI Legal aspects and Trustworthy Framework M12

a regulatory framework for DIH4AI and its regulatory experiments with policy recommendations in the last release

DIH4AI Pan-Eu and International cooperation program M36

DIH4AI Pan-Eu and International cooperation Programme M18 – M36 R, including relationships with other DT initiatives, DEI DIHs and the AI worldwide community

DIH4AI Skills Catalogue and Jobs Certification program M36

DIH4AI Skills Catalogue and Jobs Certification program M18 - M36 R, including the extension of the AI skills catalogue of I4MS and its customisation for the AI domain

DIH4AI cross-DIH and Regional-Europe Experiments Plan M12

This report includes the plan of 1st and final iterations of the crossDIH and RegionsEurope DIH4AI experiments

Relation to Standards and Data Sharing Space standardisation plan M36

report that will include the (pre-)standardisation activities of the project respectfully to Data Sharing Spaces

DIH4AI Dissemination and Impact Awareness Action Plan M12

Dissemination and Impact Awareness Action Plan

AI DIH Service Portfolio analysis and Customer Journeys modelling M27

This report describes the extension of the AI DIH Network Services portfolio analysis, customer journeys and service pipeline examples that will be the guidelines for the real implementation in the DIHIWARE

DIH4AI Legal aspects and Trustworthy Framework M24

a regulatory framework for DIH4AI and its regulatory experiments, with policy recommendations in the last release.

Requirements Engineering Methodology M21

Requirements Engineering Methodology M3 – M21 R. This report includes the methodology for requirements engineering and performance indicators assessment

Business Models and Sustainability Model for AI DIH Networks M36

Method to implement the new AI-enabled Business Models, allowing sustainability in conjunction with AI4EU

Open Call package M24

This deliverable from task 1.6 contains in a public form all the information needed to participate in DIH4AI two Open Calls (open M9-M12 active M15-M21, open M21-M24 active M27-M33

Requirements Engineering Methodology M3

Requirements Engineering Methodology M3 M21 R This report includes the methodology for requirements engineering and performance indicators assessment

Interoperability Framework Technical Verification & Validation M33

This report collects the results of the technical verification and validation of the Regional-European interoperability after first and final pilots iterations, including Open Calls.

cross-DIH and Regions-Europe Experimentations Report M21

This report includes the achievements and lessons learned from the cross-DIH experiments to be also shared with AI4EU platform

Business Models and Sustainability Model for AI DIH Networks M18

method to implement the new AIenabled Business Models allowing sustainability in conjunction with AI4EU

DIH4AI Communication material and web social presence M18

Communication material and web social presence

Open Call Package M12

This deliverable from task 16 contains in a public form all the information needed to participate in DIH4AI two Open Calls open M9M12 active M15M21 open M21M24 active M27M33

DIH4AI cross-DIH and Regional-Europe Experiments Plan M27

This report includes the plan of 1st and final iterations of the cross-DIH and Regions-Europe DIH4AI experiments.

AI DIH Service Portfolio analysis and Customer Journeys modelling M9

The report describes the AI DIH NETWORK Services portfolio analysis customer journeys and service pipeline examples that will be the guidelines for the real implementation in the DIHIWARE D43

DIH4AI Skills Catalogue and Jobs Certification program M18

DIH4AI Skills Catalogue and Jobs Certification program M18 M36 R including the extension of the AI skills catalogue of I4MS and its customisation for the AI domain

DIH4AI Pan-Eu and International cooperation program M18

DIH4AI Pan-Eu and International cooperation Programme M18 – M36 R, including relationships with other DT initiatives, DEI DIHs and the AI worldwide community

Reference and Functional Architecture for Interoperability Framework M27

Alignment between main Reference Architectures and with AI4EU modular architecture.

AI DIH Regional and cross-Regional Scenarios M6

AI DIH Regional and crossRegional Scenarios M6 M24 R This report includes the description of the businessinnovation scenarios in the Regional and RegionalEuropean experiments the methodology adopted as well as the definition of asis and expected tobe KPIs including AI Ethical KPIs

Reference and Functional Architecture for Interoperability Framework M9

Alignment between main Reference Architectures and with AI4EU modular architecture

DIH4AI Communication material and web social presence M3

Communication material and web social presence

DIH4AI Regional Experiments Plan M12

This report includes the plan of 1st and final iterations of the regional DIH4AI experiments

Interoperability Framework Technical Verification & Validation M18

This report collects the results of the technical verification and validation of the Regional-European interoperability after first and final pilots iterations, including Open Calls.

DIH4AI Regional Experiments Plan M27

This report includes the plan of 1st and final iterations of the regional DIH4AI experiments.

DIH4AI Dissemination and Impact Awareness Action Plan M24

Dissemination and Impact Awareness Action Plan

cross-DIH and Regions-Europe Experimentations Report M36

This report includes the achievements and lessons learned from the cross-DIH experiments to be also shared with AI4EU platform

Relation to Standards and Data Sharing Space standardisation plan M18

report that will include the (pre-)standardisation activities of the project respectfully to Data Sharing Spaces

AI DIH Service Platform M12

This deliverable includes the implementation of the LBEST services catalogues, customer journeys and service pipelines into the DIHIWARE, in support to WP5 experimentations

Service Platform for cross-DIH experimentations M15

This deliverable includes the implementation of the cross-DIH services in support of WP6 experimentations.

Interoperability Framework components M27

This deliverable collects the results of the T3.2-3-4 development tasks. The components developed will be integrated in D3.5 and D3.6

Interoperability Framework components M12

This deliverable collects the results of the T3.2-3-4 development tasks. The components developed will be integrated in D3.5 and D3.6

Integrated Interoperability Framework M30

The integrated interoperability framework is ready for experimentations in WP6 and for the Open Calls winners.

AI DIH Service Platform M27

This deliverable includes the refinement of the implementation of the LBEST services catalogues, customer journeys and service pipelines into the DIHIWARE, in support to WP5 experimentations.

Integrated Interoperability Framework M15

The integrated interoperability framework is ready for experimentations in WP6 and for the Open Calls winners.

Service Platform for cross-DIH experimentations M30

This deliverable includes the refinement of the implementation of the cross-DIH services in support of WP6 experimentations.

Data Management Plan M6

The Open Research Data Pilot plan is released at M6 and M36 for the definition of the data management activities and planned associated actions

Publications

The Innovative Use of Intelligent Chatbot for Sustainable Health Education Admission Process: Learnt Lessons and Good Practices

Auteurs: Laura- Maria Andreica; Tudor Faragau; Dinu DARABA; Sorin MAN; Oliviu Matei
Publié dans: Applied Sciences, Numéro 1, 2023, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app13042415

Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster

Auteurs: O. Markaki et al.,
Publié dans: 2023, ISBN 979-8-3503-1807-4
Éditeur: IEEE
DOI: 10.1109/iisa59645.2023.10345867

Extending Actor Models in Data Spaces

Auteurs: Meyer zum Felde, H., Kollenstart, M., Bellebaum, T., Dalmolen, S., & Brost, G.
Publié dans: WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023, Numéro 1, 2023, Page(s) 1147-1451
Éditeur: ACM
DOI: 10.1145/3543873.3587645

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