National Competence Center
Automated Data Anonymisation Framework for Human Resources Hello Radius is an AI-powered hiring platform that accelerates and secures recruitment by using skill-matching and anonymisation technology to reduce bias and protect candidate data. The company needed a reliable way to anonymise sensitive data in candidate CVs, such as names, addresses, and phone numbers, to ensure compliance … Read more
The German Oncology Center (GOC), a center of the prominent German Medical Institute located in Limassol Cyprus, sought to enhance its capabilities in analyzing large volumes of Magnetic Resonance Imaging (MRI) data, crucial for both patient care and medical research. The complexity and size of these datasets often exceeded the capacity of standard desktop or … Read more
Medochemie Ltd., a global leader in the production and distribution of generic pharmaceutical products, constantly seeks to optimise its operations, particularly in product development. One of the ongoing challenges it faces is the time-consuming literature review process required to meet regulatory standards and develop new products efficiently. To explore potential solutions for this challenge, Medochemie … Read more
We recently had the opportunity to consult Eratosthenes CoE in efficiently managing and processing large geospatial datasets for crop classification. The project’s primary goal was to utilize Google Earth Engine (GEE) and Xarray to create and manage extensive datasets, crucial for their research. The existing GEE Python libraries were insufficient for handling the volume and … Read more
Paradisiotis, a leading enterprise in the poultry industry in Cyprus, often faces challenges in managing production effectively due to variability in growth rates and market demands. To address these issues, a sophisticated, data-driven approach using high-performance data analytics has been proposed, revolutionizing the way poultry management is conducted. The proposed system employs a robust model … Read more
We are pleased to share a success story from our collaboration with Vlassides Winery, where we provided consultation on developing a model to accurately predict the harvest dates for Merlot grapes using flowering dates and environmental parameters. The available data included meteorological data from the Cyprus Department of Meteorology, alongside bookkeeping information from Vlassides Winery. … Read more
Charalambides-Christis aimed to leverage High Performance Data Analytics to understand the impact of various product offers on sales and costs. Although this is a frequent and well-studied business problem, in practice, the circumstances are unique for every company and situation, requiring a tailored approach to accurately assess the impact. The primary goal was to identify … Read more
The EuroCC2 team collaborated with the company EMBIO Diagnostics in advancing air quality interpretability, monitoring and analysis. The goal of the project was to consult EMBIO Diagnostics in developing a comprehensive solution encompassing a web-based visualization tool for floorplan annotation, advanced measurement prediction techniques, and innovative anomaly detection methods in air quality data. Using machine … Read more
The EuroCC2 team collaborated with the company AskWire in a project to successfully tackle the challenge of analyzing auction-related PDF files. AskWire is a company that empowers businesses and consumers to make informed real estate decisions through comprehensive property profiles, data analytics services, and bespoke solutions. The project involved using Generative Artificial Intelligence to process … Read more
The Agricultural Research Institute (ARI) aimed to adapt a computational pipeline to High-Performance Computing (HPC) to enhance agricultural research. The initial focus was on the feasibility of installing the RStudio Server on the CYCLONE HPC infrastructure, taking cues from successful setups at Princeton University and Iowa State University. The goal was to harness RStudio’s statistical … Read more