Industrial Area
Applied Artificial Intelligence
IA innovative solutions
The Applied Artificial Intelligence Unit of Eurecat develops innovative solutions (algorithms, methods, platforms) based on a combination of artificial intelligence and knowledge management technologies, especially for the industrial, energy and sustainability sectors.
Interoperability, distribution and collaboration of integrated intelligence
- Virtual sensors.
- Integrated intelligence for local decisions.
- Internet of Things (IoT).
- Digital twins
Interoperability, normalisation and homogenisation
- Interoperability and data sharing between services.
- IoT platforms combined with big data functions.
- Integration, homogenisation and standardisation of heterogeneous data sources.
Transforming data into usable knowledge
- Data cleaning and preparation for additional analysis.
- Applied analysis of geospatial data and time series.
- Process and resource optimisation.
- Knowledge engineering and semantic web.
Specialised hybrid architectures
- Artificial intelligence as a service (AlaaS).
- Hybrid architectures (big data,IoT, semantics).
- Insigth platforms.
- Decision support and real-time recommendations
Services
Smart objects
- Rapid prototyping.
- PoC.
- Digitalisation and connectivity.
- Specialised consultancy and training.
- Laboratories.
Hyperconnectivity
- System integration and homogenisation.
- PoC.
- Virtualisation.
- Specialised consultancy and training.
Smart data
- Data quality.
- Smart maintenance/useful life of assets and improved use.
- Quality/conservation prediction.
- Demand forecasting.
- Productivity growth forecasting.
- Resource optimisation.
- Zero-defect manufacturing.
- Smart programming.
Smart platforms
- Data analytics service (SaaS).
- Predictive management (resources, processes, demand).
- Real-time decision support systems (DSS).
- Advanced reporting: KPIs, dashboard, etc.
- Scenario analysis and characterisation.
- Specialised consultancy and training.
- Laboratories.
Representative sectors
Contact
Xavier Domingo Albin
Director of the Applied Artificial Intelligence Unit
Computer Engineer from the Polytechnic University of Catalunya (UPC) and Advanced Studies Diploma (DEA) in Artificial Intelligence from the University of Lleida (UdL). He has twenty years of experience in intelligent data-driven services, Artificial Intelligence and Machine Learning techniques, high-performance hybrid architectures with data analytics and optimisation capabilities applied to predictive and prescriptive management, dynamic planning or automation.
- Tel. +34 618 21 32 12
- xavier.domingo@eurecat.org
Outstanding projects
Integrated, efficient, and sustainable management system of soil, food, energy, and climate resources.
Integrated solution offering new energy consumption models with direct involvement from final consumers.
Tools for risk analysis and prevention in water supply infrastructures to counteract cyber attacks.
Multimedia
Collaborators
MTG
Agència Catalana de l’Aigua
Suez
CreaTech
Celsa Group
Grupo Constant
Atlantis
Array
Isovolta
Pastisart
Naturgy
Hohner Automáticos
MESBook
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