Match-ER

PROGRAM DESCRIPTION

MATCHER is the International Open Innovation program based in Emilia-Romagna region that aims at supporting local companies to address specific business challenges by creating strategic matches with other actors of the international innovation ecosystem, in particular start-ups and scale-ups.

The fourth edition involves three types of actors: 12 selected companies from the Emilia-Romagna region, national and international start-ups and scale-ups and all the actors from the Italian and international innovation ecosystem.

The fourth edition addresses challenges regarding Data-Driven Innovation and they are grouped into three thematic clusters:

• DATA COLLECTION AND ELABORATION TO SUPPORT OPERATORS
• DATA ANALYSIS FOR STRATEGIC DECISIONS
• DATA USE FOR MACHINE AUTOMATION AND PERFORMANCE

3 Key Events

The program is composed by three key points:

MATCH.POINT – the International matching program dedicated to the 12 selected companies based in Emilia-Romagna and to the admitted start-ups/scale-ups with the goal of addressing the companies’ challenges. Companies and start-ups/scale-ups have about 3 months to match, connect and find opportunities to co-create solutions around shared business needs.

BIG.MATCH and FINAL.MATCH – the closing moments of MATCHER, where further matches, as well as networking with the national and international innovation community, will take place.

CHALLENGES

> Click here to discover the Terms & Conditions of the Program <

DATA COLLECTION AND ELABORATION TO SUPPORT OPERATORS

• Smart data extraction and processing from diverse internal sources
• Digitalizing operational instructions to support operators in their activities in the production line
• Monitor operators’ actions and position along production lines to prevent injuries or work-related illness

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DATA ANALYSIS
FOR STRATEGIC
DECISIONS

• Supporting tender and competition analysis to identify strength and weakness areas in the award criteria
• Big data elaboration for personalizing patient journeys, from clinical trial to therapy customization
• Managing heterogeneous data to generate actionable insights for operators in mobility and logistics
• Creating tailored training and HR strategy through data analysis

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DATA USE FOR MACHINE AUTOMATION AND PERFORMANCE

• Accelerating predictive maintenance activities through advanced data gathering and processing
• Generating synthetic images to train AI models for agricultural tasks
• Provide insights to boost batteries performance based on driving habits, vehicle specifics and environmental conditions

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