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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
  • Type: Test
  • SUT/E: AI model for industrial forecasting
  • Average duration: 12.0 months
  • Contact: contact@ai-matters.eu

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Co-Funded by the European Union Under grant agreement number 101100707

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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