Data Analysis and AI Lab
DESCRIPTION
Ceit has a data analysis and AI laboratory, with equipment and software tools to be able to carry out the necessary phases to develop and put into production developments that integrate ML/AI algorithms:
- Descriptive data analysis
- Search for critical operating parameters
- Optimal design of experiments
- Digital twins
- MLOps/DevOps technologies
- On-premise/cloud deployments
These processes are applied to solve a variety of problems applied to different sectors. For example, they allow implementing solutions for anomaly detection (in machines, in manufacturing processes, in network traffic...), predictive algorithms (failures, attacks, maintenance management...), optimization algorithms, even creation of digital twins based on synthetic data for their integration in decision support systems (analysis of “what if... else” scenarios, recommenders, etc.), as already applied in the Manufacturing, Transport and Water sectors.
MOST OUTSTANDING EQUIPMENT AND COMPONENTS
GPU ServersGPU computing servers for training complex and computationally demanding models such as deep learning models.
Access to distributed computing HPC cluster.
SERVICES OFFERED BY THE ASSET
Design of decision-support tools through applied AI
Proofs of concept of application of data analysis techniques, ML and AI
ENTITY MANAGING THE ASSET
CEIT
Contact person: Itxaro Errandonea Aranibar
