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D3.1 Energy efficient AI-based toolset for improving data quality. First version

This document is the first deliverable from WP3, aiming to provide a first draft of the SEDIMARK data quality pipeline. This document details how the pipeline aims to improve the quality of datasets shared through the marketplace while also addressing the problem of energy efficiency in the data value chain. This document is actually the […]

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Resource-efficient Machine Learning

Machine Learning (ML) algorithms have demonstrated remarkable advancements across diverse fields, evolving to become more intricate and data-intensive.  This evolution is particularly driven by the expanding size of datasets and the infinite growing nature of data streams. However, this substantial progress has come at the cost of intensified energy consumption, emphasizing the urgent requirement for […]

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D5.1 Evaluation methodology, metrics and integration plan

The document is the first deliverable of WP5 and reports the results of T5.1 activities aimed at recommending an evaluation methodology, performance metrics, and a timetable for the integration of the SEDIMARK platform according to the rules of decentralization, trustworthiness, intelligence, data quality, and interoperability. This deliverable is important because it defines the evaluation methodology, […]

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A matter of identities

Nowadays, users register to a service and, usually, the service itself stores the users data - the identity. Today the majority of online services are centralized and rely, in some form, on a single authority for identity management. SEDIMARK instead aims to be a fully decentralized data Marketplace. This architectural choice has consequences also on […]

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SEDIMARK featured in the European Big Data Value Forum

Data and AI in action! On the 25th-27th of October the ๐—˜๐˜‚๐—ฟ๐—ผ๐—ฝ๐—ฒ๐—ฎ๐—ป ๐—•๐—ถ๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—ฉ๐—ฎ๐—น๐˜‚๐—ฒ ๐—™๐—ผ๐—ฟ๐˜‚๐—บ #EBDVF, organised by #BDVA - Big Data Value Association, took place in Valencia, Spain. We had an insightful time exploring the most recent developments and reflections in Data and AI alongside professionals, researchers, policymakers and other entities across Europe. […]

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Third General Assembly meeting in Santander

The culmination of three intense and enjoyable days marked the conclusion of #SEDIMARK's third General Assembly. This face to face meeting was held in the Universidad de Cantabria premises, during the 17th, 18th and 19th of October, gathering together all the partners from SEDIMARK. The event kicked off with a highly engaging technical workshop on […]

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The Data Water Valorization Platform

In the context of climate change, water is a critical resource that must be managed very carefully. The ecosystem of water management is full of actors, each having a different responsibility and their own datasets which may be of value for other stakeholders. Currently, these datasets are not or are poorly shared. To tackle this […]

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D2.2 SEDIMARK Architecture and Interfaces. First version

This document serves as the first version of the SEDIMARK architecture aiming to provide an in-depth description of various architectural views and the roadmap on how the views were extracted. The main goal is to provide an architecture that supports the main concepts of SEDIMARK for full decentralisation, trustworthiness, intelligence, data quality and interoperability. This […]

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AI-Powered Customer Analysis in SEDIMARK

MYTILINEOS S.A. participates in SEDIMARK through BU Protergia, the Energy Unit and the largest independent electricity provider in Greece. Protergia has an Applied R&D and Innovation division working on innovative products and services. Two of these products / services are two different AI prediction models which analyze customer sales and behavior at a geospatial level. […]

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