Bryan Lineweaver 
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
One of the main functionalities of FAME platform is the development of the search engine enabling the data assets discovery. For that purpose, it is mandatory to process user interests embedded in the searching box to display not only the most related results, but also additional ones that may be also interesting. Our goal is, … Read more
In industrial environments, such as a refinery or a wind farm, breaking down data silos is crucial for enhancing operational efficiency and fostering innovation. Data silos often arise when companies and/or internal departments collect and store information independently, leading to fragmented insights that hinder collaboration and decision-making. To address this challenge, Motor Oil Hellas (MOH) … Read more
The 4th International Workshop on Advances on Privacy Preserving Technologies and Solutions (IWAPS) was co-organized by the FAME project, along with several other EU-funded research projects, including NITRO (DIGITAL, GA no: 101145872), RESCALE (HORIZON, GA no: 101120962), ERATOSTHENES (H2020, GA no: 101020416), CYBERUNITY (DIGITAL, GA no: 101128024), CHRISS (HORIZON, GA no: 101082440), ENTRUST (HORIZON, GA … Read more
In recent years, the significance of Environmental, Social, and Governance (ESG) factors in investment strategies has surged dramatically. As investors become increasingly aware of the implications of their financial choices, the need for transparent, responsible, and sustainable investing practices has come to the forefront. JRC Capital Management, a leading asset management firm based in Berlin, … Read more
LeanXcale is developing within the FAME project a novel innovation, named Energy Efficient and Incremental Analytics, whose purpose is twofold: firstly to provide the capability of incremental processing of analytical operations and secondly, to perform analytical query processing with an energy efficient manner. Regarding the incremental analytics part of this artefact, it is important to … Read more
The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data. The performance of ML models heavily relies on their ability to … Read more
On July 10th and 11th, the FAME consortium convened in the vibrant city of Bratislava, Slovakia, for its 4th General Assembly meeting. The University of Economics in Bratislava (EUBA) graciously hosted this important event on their picturesque campus, providing an ideal setting for productive discussions and collaboration. GFT Technologies Italia, the project coordinator, led the … Read more
Teaser: Silicon Valley invented the Internet and the cloud – and thus the infrastructure for the data economy of the 21st century. And what does Europe bring to the game? We contribute our political know-how: for a federation with fair rules, reliable standards and public technology. This is because there is still a lack of … Read more
Here are some key considerations for choosing the proper pricing strategy to achieve sustainable growth and profitability. Digital products have two main characteristics affecting their valuation and pricing. They are non-rivalrous in consumption and experiential (we learn the quality of digital product just after purchasing it). What are you selling? When pricing digital products, it … Read more