AI solutions for Iterative Product Optimization

Service Description

Testing of an AI-solution for continuous update and improvement of product performance based on reinforced learning
Expected results: The aim is to validate an AI-based solution able to continuously adjust its configuration in order to improve its performance and robustness over time
Methodology:Task-specific experimental protocols are defined and carried out by product users in a realistic environment to generate structured datasets. The data are then used to assess the tool performance
Target:Manufacturing companies, Equipment provider, OEM

Improving production with AI technologies