enRichMyData | Enabling Data Enrichment Pipelines for AI-driven Business Products and Services

Summary
enRichMyData provides a novel paradigm for building rich, high-quality and valuable datasets to feed Big Data Aalytics and AI applications. The paradigm consists in facilitating the specification and scalable execution of data enrichment pipelines, with a focus on supporting various data enrichment operations such as discovery, understanding, selection, cleaning, transformation, integration of Big Data from a variety of sources. enRichMyData makes this paradigm easily accessible to a wide set of large and small organizations that encounter difficulties in the process of delivering suitable data to feed their data analytics solutions due to the lack of suitable tools and expertise to support cost- effective and energy-efficient management of data enrichment pipelines. enRichMyData delivers a software toolbox consisting of tools and infrastructure services for setting-up, deploying, executing and managing data enrichment pipelines. The main exploitation targets the operation and monetization of the toolbox primarily in European markets. enRichMyData validates its plan through a strong selection of complementary business cases offered by commercially- focused organizations targeting development of novel products in a wide range of domains, including digital marketing, Industry 4.0, medical devices maintenance, public procurement, innovation ecosystems, and mineral processing. The balanced consortium consists of 13 partners from 11 countries. With a mixture of R&D/technology providers and business case providers, enRichMyData gathers five large companies, three SMEs, two research institutes, and three universities.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101070284
Start date: 01-10-2022
End date: 30-09-2025
Total budget - Public funding: 5 887 140,00 Euro - 4 999 941,00 Euro
Cordis data

Original description

enRichMyData provides a novel paradigm for building rich, high-quality and valuable datasets to feed Big Data Aalytics and AI applications. The paradigm consists in facilitating the specification and scalable execution of data enrichment pipelines, with a focus on supporting various data enrichment operations such as discovery, understanding, selection, cleaning, transformation, integration of Big Data from a variety of sources. enRichMyData makes this paradigm easily accessible to a wide set of large and small organizations that encounter difficulties in the process of delivering suitable data to feed their data analytics solutions due to the lack of suitable tools and expertise to support cost- effective and energy-efficient management of data enrichment pipelines. enRichMyData delivers a software toolbox consisting of tools and infrastructure services for setting-up, deploying, executing and managing data enrichment pipelines. The main exploitation targets the operation and monetization of the toolbox primarily in European markets. enRichMyData validates its plan through a strong selection of complementary business cases offered by commercially- focused organizations targeting development of novel products in a wide range of domains, including digital marketing, Industry 4.0, medical devices maintenance, public procurement, innovation ecosystems, and mineral processing. The balanced consortium consists of 13 partners from 11 countries. With a mixture of R&D/technology providers and business case providers, enRichMyData gathers five large companies, three SMEs, two research institutes, and three universities.

Status

SIGNED

Call topic

HORIZON-CL4-2021-DATA-01-03

Update Date

09-02-2023
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Artificial Intelligence, Data and Robotics Partnership (ADR)
ADR Partnership Call 2021
HORIZON-CL4-2021-DATA-01-03 Technologies for data management (AI, Data and Robotics Partnership) (IA)
Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.4 Digital, Industry and Space
HORIZON.2.4.7 Advanced Computing and Big Data
HORIZON-CL4-2021-DATA-01
HORIZON-CL4-2021-DATA-01-03 Technologies for data management (AI, Data and Robotics Partnership) (IA)