Tri-Collab: A Machine Learning Project to Leverage Innovation Ecosystems in Portugal DOI Creative Commons

António Marujo,

Bruno Klaus de Aquino Afonso, Inês de Oliveira Martins

и другие.

Big Data and Cognitive Computing, Год журнала: 2025, Номер 9(5), С. 139 - 139

Опубликована: Май 20, 2025

This project consists of a digital platform named Tri-Collab, where investors, entrepreneurs, and other agents (mainly talents) can cooperate on their ideas eventually co-create. It is means for this triad actors (among potential ones) to better adjust requirements. includes an app that easily communicates with database projects, innovation profiles, the originality lies in matching algorithm. Thus, co-creation have support through assertive interconnection players resources. work also highlights usefulness Canvas Business Model structuring idea its dashboard, allowing comprehensive view channels, challenges gains. Also, machine learning improving matchmaking platforms discussed, especially when technological advancements allow forecasts match people at scale.

Язык: Английский

Tri-Collab: A Machine Learning Project to Leverage Innovation Ecosystems in Portugal DOI Creative Commons

António Marujo,

Bruno Klaus de Aquino Afonso, Inês de Oliveira Martins

и другие.

Big Data and Cognitive Computing, Год журнала: 2025, Номер 9(5), С. 139 - 139

Опубликована: Май 20, 2025

This project consists of a digital platform named Tri-Collab, where investors, entrepreneurs, and other agents (mainly talents) can cooperate on their ideas eventually co-create. It is means for this triad actors (among potential ones) to better adjust requirements. includes an app that easily communicates with database projects, innovation profiles, the originality lies in matching algorithm. Thus, co-creation have support through assertive interconnection players resources. work also highlights usefulness Canvas Business Model structuring idea its dashboard, allowing comprehensive view channels, challenges gains. Also, machine learning improving matchmaking platforms discussed, especially when technological advancements allow forecasts match people at scale.

Язык: Английский

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