One of the key tools which enables data trading and monetization in FAME is the Pricing Advisory Tool (PAT). PAT is a web based tool which provides price recommendations for offering data assets on FAME. The PAT leverages transactional data along with textual data and questionnaire based data associated with data assets in Federated Data … Read more
In today’s ever-changing technological landscape, companies are constantly looking for innovative ways to increase efficiency and minimize costs, and even more nowadays with the advent of artificial intelligence and large language models. However, many businesses, especially small companies, may lack the budget or technical expertise to build custom machine learning or analytics solutions. For such … Read more
The world of finance is evolving at lightning speed, with embedded finance (EmFi) and data-driven marketplaces at the heart of this transformation. Enter the FAME Learning Centre (LC)—an innovative, online hub designed to equip professionals across industries with the skills and knowledge to navigate this fast-changing landscape. The FAME LC is more than just a … Read more
From October 22-24, FAME proudly participated in Bratislava Finweek 2024, a leading gathering of banking, fintech, and technology leaders to discuss current trends and the future of finance and technology. Held in the vibrant Slovak capital, the event served as an exceptional opportunity to present FAME’s cutting-edge solutions and to engage with leading professionals in … Read more
On November 20-21, 2024, project partners traveled to Milan, Italy, for FAME’s 6th General Assembly (GA), where project partners convened to share milestones, explore progress, and strategically map out the months ahead. This event, hosted by GFT Technologies, also featured a strategic Hackathon among the project developers to further advance key components of the FAME … Read more
StreamStory is an interactive web-based tool for visualization, exploration and interpretation of multivariate time series data. It was developed by Jožef Stefan Institute (JSI) and is currently undergoing functional upgrades within the FAME project, where large language models (LLMs) are being leveraged to extract and explain patterns. The system helps users identify and investigate recurrent … Read more
The FAME project proudly attended the European Big Data Value Forum (EBDVF), held from October 2-4, 2024, in Budapest, Hungary. This prominent event brought together global leaders in data and AI, including industry professionals, researchers, policymakers, and innovators, to explore policy advancements and innovative solutions in data management, AI, and emerging digital infrastructure. FAME, which … Read more
Artificial Intelligence (AI) is now an essential part of modern technology, driving everything from voice assistants to advanced data processing systems. While AI offers numerous benefits, it also carries an environmental burden in the form of carbon emissions (CO2). Training and running AI models also require substantial energy, particularly in data centers where vast amounts … Read more
In the dynamic world of digital assets, security and accessibility are paramount. The FAME consortium partners are proud to unveil its plans for the extension and enhancement of its innovative solution that revolutionizes asset management within the FAME project: the Assets Policy Manager (APM). Driven by UBITECH, with the invaluable contributions of NRS and INQBIT, … Read more
In the FAME project, Trailblu (TRB) developed a trading history service for the Bourse smart contract which provides a general ERC20, ERC721 and ERC1155 token trading service. This component is designed to retrieve recorded data offering transactions and to serve them to data providers and customers. This information can then be used for various purposes … Read more
DISCLAIMER
The FAME project has received funding from the European Union’s Horizon 2023 Research and Innovation Programe under grant agreement nª 101092639.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe. Neither the European Union nor the granting authority can be held responsible for them.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe. Neither the European Union nor the granting authority can be held responsible for them.
The FAME project has received funding from the European Union’s Horizon 2023 Research and Innovation Programe under grant agreement nª 101092639.
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