Eurecat designs, builds and validates innovative data analytics solutions to optimize business processes and improve decision-making by creating and adapting new technologies and algorithms.
Eurecat focuses on the design and implementation of advanced algorithms in Artificial Intelligence and Data Analysis through all the data value chain in the domains of:
- Data mining and machine learning
- Privacy & Algorithmic Fairness
- Social Media & computational Social Science
- Customer analysis & market intelligence
- Lifelong learning and labour market
- e-Health Data Analytics
- Supply Chain
- Industry 4.0
- Energy and Water Management
Specific services provided by domain:
Data mining and machine learning
- Design and implementation of advanced algorithms in data analytics
- Data insights
- Time series analysis & forecasting
Privacy & Algorithmic Fairness
- Personal data anonymization
- Human mobility and geoanalytics
- Fairness & Explainability on Machine Learning/Deep Learning
Social Media & computational Social Science
- Social media analysis (brand analysis, influencers…)
- Auditing of algorithms and discrimination
Customer analysis & market intelligence
- User segmentation
- Customer profiling, customer life-cycle
- Sales prediction. Churn analysis. Lead scoring. Trends detection. Product ordering
- Mobility profiling (tourists, locals, commuters…), micro and macro mobility analysis
- Mobility tracking. Origin-Destination matrices. Hot spots detection. Mobility flow analysis. Mobility prediction. Last-mile route optimization
- Multi-modal analysis through different technologies: Social Networks, WiFi, Mobile data…
Lifelong learning and labour market
- Active Learning models, learning pattern recognition
- Skills analysis
- Demand and Offer analysis
- Stock market analysis
- Computer vision and video analysis. Deep learning systems for image recommendation
- Automatic creation of anaglyphs and stereoscopic images.
- Image recognition in video and television.
e-Health Data Analytics
- Data management in clinical research.
- Statistics, knowledge management and machine learning in medicine.
- Predictive and prescriptive models in health care and medicine.
- Cybersecurity in blockchain technologies and cross-industry smartcontracts.
- Applied analysis of geospatial data and time series.
- Process and resource optimisation.
- Knowledge engineering and semantic web.
- Inventory optimization
- Demand prediction
- Predictive maintenance
- Predictive quality systems
- Industrial process optimization
- Real-time decision support systems for machine management, processes and production plants
- Quality control models (deep learning image analysis)
- Anomaly detection
- Traceability and monitoring of production processes, warning and alert generation
- Prescriptive maintenance algorithms
- Energy demand prediction
Water resource management optimization
SPECIAL ACCESS CONDITIONS
Acknowledged application in main markets: Heath (medical & nutrition), Industry, Agro-food, Retail, Finance, Defence, Utilities, Mobility and Transport, Culture and Creative Industries, Tourism, Construction (building sector) and Public Administration.