As technology continues to advance, we are witnessing a transformation in how we approach problem-solving. In particular, artificial intelligence (AI) is reshaping the landscape of urban innovation, empowering individuals and communities to collaborate in creating smarter, more inclusive cities. The Evolution of Problem-Solving Tools In the past, challenges were tackled by specialists working in silos, […]
In the fast-evolving world of data science and AI, ensuring that workflows are reproducible, portable, and scalable is essential for success. However, many modern tools prioritize ease of use over standardization, making it difficult to share and execute workflows across different environments. The SEDIMARK team tackled this challenge by creating a transformation methodology to convert […]
1. Introduction As part of the SEDIMARK toolbox that Users will use for configuring AI and Data Processing pipelines for their use case, AI tasks such as forecasting are made readily available for inferencing on Data Assets. Time series forecasting has a wide range of applications across various fields, including financial market prediction, weather forecasting, […]
We are thrilled to share our recent presentation of SEDIMARK at the CONFORTage General Assembly Open Day! SEDIMARK: Redefining Health Data Management SEDIMARK represents a significant step forward in securely integrating marketplace datasets with clinical environments, aligning closely with the European Health Data Space (EHDS) vision. Our presentation highlighted how SEDIMARK ensures that health records […]
SEDIMARK participated in one of the meetings organized by the ETSI cross cutting Context Information Management (CIM), providing two contributions on relevant topics regarding Context Information standardization. The following presentations were carried out by the Universidad de Cantabria team: The meeting took place last October 9th, and all the contents and outcomes can be found […]
After the thrilling session that was held at the EBDVF 2024 in Budapest on October 4th, titled "Leveraging Technologies for Data Management to Implement Data Spaces," where around 30 attendees gathered to hear representatives from six key projects—SEDIMARK, Waterverse, EnRichMyData, GREEN.DAT.AI, DATABRI-X, and STELAR—present their latest developments, we come to summarize the main aspects covered […]
In today’s fast-paced digital landscape, effective data processing is a critical component for any organization looking to derive insights and drive innovation. However, setting up data pipelines - from extraction to transformation and loading (ETL) - has traditionally required a high level of expertise. We’re happy to announce a solution that could democratize data orchestration […]
Last week, we had the privilege of meeting with our partners at LINKS Foundation in Torino for a productive General Assembly meeting. Over the course of two days, we engaged in in-depth discussions and collaborative efforts to define the next steps as we approach the final year of SEDIMARK project. Thanks to the hard work […]
In today’s data-driven world, finding relevant datasets is crucial for researchers, data scientists and businesses. This has led to the development of dataset recommendation systems. Similarly, as the movie recommendation system used by Netflix guiding users to discover the most relevant movies, the dataset recommender system aims to guide users to navigate this complex landscape […]
