AI for process optimization with collaborative robot

Service description

The service aims at providing methods and tools to comply with data quality management at design time and at run time. To this end the service will adopt solutions to verify if the datasets adopted by the experimenters have the desired/acceptable quality level and if they constitute high-value data to be exploited for training and execution of AI tools. The service can exploit AI-aided tools for the verification and the final results will provide guidance to the experimenters in order to improve the input datasets or the adopted AI pipelines, to maximise the business benefits considering the given quality of data as input.
Expected results: AI-base solution able to: 1) Assess data quality 2) Assess pipeline efficiency 3) Recommendations for improving data and quality
Methodology: – Technology Scouting; – Off site Proof of Concept; – Data Quality Assessment, – Data Preparation and Pipelines analysis/design; – On site Test before Invest (optional)
Target: Robot Provider, Tool Provider, Logistic Provider, …

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