MATCHER Data-Driven Innovation 2024

The fourth edition of MATCHER Open Innovation Program focused on 10 Challenges proposed by the 12 Emilia-Romagna corporate partners. These were grouped in 3 thematic clusters.

Enhancing operator support through smart data extraction and processing, digitalized instructions, and real-time monitoring to ensure safety and efficiency

#1. Smart data extraction and processing from diverse internal sources

Scouting a comprehensive solution for efficient data retrieval from diverse internal sources by employees

#2. Digitalizing operational instructions to support operators in their activities in the production line

Scouting a software solution for the digitalization of manufacturing working instructions by creating a virtual & interactive check list leveraging on current data with the possibility of monitoring employees’ activities

#3. Monitor operators’ actions and position along production lines to prevent injuries or work-related illness

Scouting a privacy-compliant monitoring system that captures and analyzes ergonomic data to ensure operator safety and health on the production line

Data analysis to optimize strategic decisions, from tender analysis and personalized healthcare to operational insights and hr strategies

#1. Supporting tender and competition analysis to identify strength and weakness areas in the award criteria 

Scouting a software solution (e.g., Big Data and AI) for the systematic analysis and classify the tender award criteria and to increase commercial opportunities

#2. Big data elaboration for personalizing patient journeys, from clinical trial to therapy customization

Scouting a data collection, conditioning, storage, and processing solution that supports medical operators in personalizing patient journey and patient care, from patient selection for clinical trials to prevention strategies and therapy customization

#3. Managing heterogeneous data to generate actionable insights for operators in mobility and logistics

Scouting a solution to manage heterogeneous spatial data from public and private sources to generate actionable insights for operators in mobility and logistics

#4. Creating tailored training and HR strategy through data analysis

Scouting a privacy-compliant, user-friendly digital engagement tool supporting employees training and HR strategy

Enhancing machine automation and performance using advanced data analysis for predictive maintenance, autonomous agriculture, and optimized battery performance

#1. Accelerating predictive maintenance activities through advanced data gathering and processing

Scouting a solution that can expedite the training of predictive algorithms for machinery and process damages, utilizing synthetic data and diverse data sources to compensate for the lack of failure data

#2. Generating synthetic images to train AI models for agricultural tasks

Scouting a sophisticated software solution that creates synthetic images for different type of plants to train AI models for agricultural automation tasks

#3. Provide insights to boost batteries performance based on driving habits, vehicle specifics and environmental conditions

Scouting a software/hardware solution enabling advanced analysis of vehicle data to enhance battery and vehicle efficiency