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Validation of AI models for time series forecasting and anomaly detection in manufacturing

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Service Description

The service aims at the evaluation of the compliance with data science standards for reproducibility of the methodology adopted for developing and training AI models for time series of homogeneous and heterogeneous data.
Specific domains of interest could be: Manufacturing, Predictive maintenance, Quality forecast; Energy market; Geospatial and weather prediction industry

Expected results:

Optimized AI model for time series analysis and forecasting tailored on the specific industrial need

Methodology:

Data Science methodologies and approaches for the development of machine learning based predictive models from heterogeneous data

Target:

AI-based software for manufacturing Provider

  • Organisation: FBK
  • Type of servicio: test
  • System to be tested or experimented: AI model for industrial forecasting
  • Expected duration of service performance, in calendar days/months: 12-0 months

Improving production with AI technologies