Data platform environment specially designed for data experimentation analysis to accelerate innovation through trustworthy experimentation.
A combination of physical resources, machine learning models, data and methodology to successfully choose the method that is most suitable keeping the research objective and study question in mind. Including:
- Algorithmic families
- User interaction
- Production assistance
- IT & OT Security and assets protection
SERVICE DESCRIPTION
Living Lab for co-creation of digital products and services based on Artificial Intelligence including a selection of:
Algorithmic families
- Recommender systems
- Decision support systems
- Classification & Segmentation
- Pattern recognition, anomaly detection
- User profiling
- Descriptive and prescriptive analytics
- Knowledge extraction
User interaction
- User management analytics
- Personalization
Production assistance
- Predictive maintenance / quality / service
- Product yield optimization
- Demand forecasting
- Logistics optimization
- Productivity, automation
- Virtual sensoring, digital twins
IT & OT Security and assets protection
- Fraud detection
- Cybersecurity in industrial environments (critical infrastructures, SCADA, PLC, DCS, etc.).
- Cybersecurity in Industry 4.0, IoT, health equipment, drones and cars.
- Advanced solutions for protection, detection and defense in highly distributed (IoT) systems, based on immune and autonomous systems.
- IT security in big data environments, data analysis, predictive analysis, etc.
SPECIAL ACCESS CONDITIONS
No
PREREQUISITES
No
CASE EXAMPLES
Experimentation DataSpaces are key to develop innovative use-cases and can be applied to any industry or domain. For example, in the Perception & Cognition area, experimentation dataspaces have been developed to monitor cognitive responses, evaluation of the emotional response, track user experience or develop behavioural and psychophysiological measures.
