
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
blockchain, AI, fintech, ISO, standardisation, data spaces, W3C
blockchain, AI, fintech, ISO, standardisation, data spaces, W3C
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
