This document provides the initial detailed description of the project use cases (UCs) and the initial requirements. As far as it concerns the use cases, the goal is to define them with specific details about their implementation and how they will use the project tools, and especially aiming to combine data from different data sources […]
Automated Machine Learning (Auto-ML) is an emerging technology that automates the tasks involved in building, training, and deploying machine learning models [1]. With the increasing ubiquity of machine learning, there is an ever-growing demand for specialized data scientists and machine learning experts. However, not all organizations have the resources to hire these experts. Auto-ML software […]
In the digital age, streaming data - information that is generated and processed in real-time - is abundant. Applying Artificial Intelligence (AI) to mine this data holds immense value. It enables real-time decision-making and provides immediate insights, which is particularly beneficial for industries like finance, healthcare, and transportation, where instant responses can make a significant […]
In today's world, Artificial Intelligence (AI) is widespread and used in many different areas, such as the tech industry, financial services, health care, retail and manufacturing to name just a few. The main drive behind the surge of AI applications is its ability to extract useful information from very large data. Despite the incredible positives […]
Data has become a new currency in the current data-driven economy. The EU has launched the EU data market monitoring tool, which continuously monitors the impact of the data economy in the member states. The tool has identified that in 2021 the EU there are more than 190.000 data supplier companies, and more than 560.000 […]
Data interoperability refers to the functionality of information systems to exchange data and enable information sharing. More specifically, itis defined as the ability of systems and services that create, exchange, and consume data to have clear, shared expectations for the format, contents, context, and meaning of that data. Thus, it allows to access and process […]
This week, SEDIMARK participated in the workshop on ‘Tech Adoption Scenarios and Data AI 2030’ that was organised by the LeADS project (Leading Europe’s Advanced Digital Skills), which is a Coordination and Support Action (CSA) funded by the Digital Europe Programme, and among other objectives, it aims to provide guidance for the deployment of the DIGITAL […]
ARTEMIS is the product of WINGS that is oriented to the proactive management of water, energy, gas infrastructures. Based on the WINGS approach, it combines advanced technologies (IoT, AI, advanced networks and visualizations) with domain knowledge, to address diverse use cases. Being a management system it delivers the following functionalities. Commercial traction has been achieved, […]
This document is a deliverable of the SEDIMARK project, funded by the European Commission under its Horizon Europe Framework Programme. This document presents the “D6.2 Dissemination and exploitation plan” deliverable, including the expected impact of the ongoing and planned activities, target audience, milestones, and mechanisms to assess the dissemination and exploitation activities carried out throughout […]
