FAME and UNDERPIN, a symbiotic relationship

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

FAME Co-organizes the 4th International Workshop on Advances in Privacy Preserving Technologies and Solutions (IWAPS) 2024

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

Empowering Investors through Innovative ESG Integration: The FAME Project and JRC Capital Management

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

Energy Efficient and Incremental Analytics

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

Preserving data privacy in Machine Learning pipelines with Federated Learning

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

FAME Consortium Holds Successful General Assembly in Bratislava

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

Are you ready to enter market with digital products or services?

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

Towards designing a user-friendly Data Marketplace

Within its complete implemented environment, FAME will provide an integrated user-friendly end-to-end User Interface (UI) facilitating the interaction of the FAME stakeholders with all the involved FAME supported processes and functionalities through its Data Marketplace. Such UI, namely the FAME Dashboard, will be designed and implemented for providing an interface that will be aesthetically pleasing … Read more

Blockchain Smart Contract Based Solutions for Governance and Trading in Federated Data Markets

In the FAME project, Trailblu (TRB) is responsible for creating and managing blockchain-based smart contract solutions for Governance Operations and Data Asset Trading. Tokens are used to represent data assets and currency coins.  Both Governance and Bourse smart contracts are designed to support the most widely used token standards ERC20, ERC721 and ERC1155. ERC20 is … Read more