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Success Story 17. INFINITECH and FAME - Standardisation in Financial and Insurance Technologies [Project: INFINITECH & FAME; Expert: Marga Martin Sanchez]

Authors: Giuffrida, Maria; Chulani, Ilknur; Martin Sanchez, Marga;

Success Story 17. INFINITECH and FAME - Standardisation in Financial and Insurance Technologies [Project: INFINITECH & FAME; Expert: Marga Martin Sanchez]

Abstract

This document presents the INFINITECH and FAME Project experience with HSBooster.eu services INFINITECH and its successor project, FAME, recognised the importance of standardisation to ensure interoperability, security, and scalability within financial and insurance technologies. INFINITECH, focusing on areas such as blockchain, privacy, and AI-powered solutions, required support to validate its progress and align its innovations with existing standards. As the project was in its later stages, there was a need to identify relevant standardisation opportunities and effectively communicate results to technical committees and stakeholders.FAME expanded upon INFINITECH’s achievements, aiming to establish a federated, secure, and energy-efficient data marketplace for embedded finance. This involved leveraging lessons from INFINITECH, such as its blockchain infrastructure, while introducing new features like DataOps and MLOps solutions. Standardisation support was needed to align these innovations with key standards in Artificial Intelligence, Decentralised Identifiers and Verifiable Credentials. Discover all the HSbooster.eu Success Stories: https://hsbooster.eu/success-stories 

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Keywords

blockchain, AI, fintech, ISO, standardisation, data spaces, W3C

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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