Especially SMEs are underrepresented among AI adopters in Europe, and there exists little to no formal exploration into understanding the challenges with AI adoption from an SME perspective.

Therefore, it is important to learn from existing and successful support structures and formats to replicate and adapt successful mechanisms into different types of organizations and businesses. The aim is to facilitate the adoption of AI and to increase the innovative strength, especially within the SME sector.

In this microproject we focus on the identification of existing support structures and formats for innovation and assess if they are suitable for an implementation in the respective organizations’ innovation strategy.

To achieve the intended objective of the microproject, intensive research, and interviews with experts will be conducted.

The outcome of the project will be a report of applicable mechanisms and formats for AI-innovation as well as an initial workshop to test the applicability.

Output

Report of applicable mechanisms and formats for AI-innovation

Report of the initial workshop

Project Partners:

  • fortiss GmbH, Dr. Wolfgang Köhler
  • German Entrepreneurship GmbH, Andreas Keilhacker

 

Primary Contact: Wolfgang Köhler, Fortiss

A central challenge is to bring the people together to create innovations. Traditionally this works only with a high density of experts, entrepreneurs, and customers, e.g. silicon valley. In distributed settings on a European scale this does not work, despite the existence of matching platforms.

We take a different approach that is inspired by matching people in online dating. Individuals and companies often don’t know what they can offer or what they need. Hence we suggest a more holistic approach. Based questions asking about skills, interest, values, approaches, existing collaborations and digital artifacts (code, images, algorithms) we envision an intelligent matching platform.

We will run a workshop to understand the right questions, what artifacts are telling, and what good indicators for potential collaborations are. We also want to run a workshop to identify AI techniques for making the matches and for identifying the system architecture of the platform.

Output

catalog of questions as the basis for the matching platform

a system architecture for the platform

set of candidate algorithms for matching

Presentations

Project Partners:

  • German Entrepreneurship GmbH, Jan Alpmann
  • Ludwig-Maximilians-Universität München (LMU), Albrecht Schmidt
  • Volkswagen AG, Gülce Cesur

 

Primary Contact: Jan Alpmann, German Entrepreneurship

In the first microproject “Asking the right questions” we could identify and verify a set of functional questions to match people for innovation. With this project we build on this understanding of relevant elements of a matching platform and the identified user needs in the context of AI based innovation.

Within this micro project, we aim to implement an AI matching platform prototype. The first version will allow users to specify and manage profile data and receive matches. Matches could be either one-to-one matches or where a set of people is identified for which live event (online or in person) for getting them together is beneficial. We aim to evaluate the platform and get feedback from technology and domain experts, scientists, entrepreneurs, and startups.

Our long-term goal is to help connect experts and entrepreneurs across physical boundaries, creating a vibrant and agile high-tech environment on a European Scale.

Output

A first prototype of a working matching platform

Matches and test users on the platform

Project Partners:

  • German Entrepreneurship GmbH, Jan Alpmann
  • Ludwig-Maximilians-Universität München (LMU), Albrecht Schmidt
  • Volkswagen AG, Gülce Cesur

 

Primary Contact: Jan Alpmann, German Entrepreneurship