Through their growth in the postmodern Western economies, but recently also in China in particular, "events", with a focus on the business-oriented events that dominate the industry, represent time-limited gatherings with high innovation potential. Increased digital development increases the change in importance from knowledge mediation to network building. The contact and interaction control of participants as company representatives as well as sponsors, analog, hybrid or also digital, has thereby predominantly the goal of experience exchange and project initiation to force, while the finally developing network formation promotes innovation formation. Matchmaking is to be seen as a crucial tool that leads to completely new qualities in this regard through AI-based solutions for all forms of business events such as congresses, conferences, or exhibitions through learning and adapting algorithms. Although the prerequisite always remains the collection of sufficient qualitative data from participants, the potentials of a relevant data analytics and a predictive "match", e.g., in the form of one-to-one meetings ultimately lead to a more efficient and effective use of such business-oriented events.

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D. Hagen, "AI-based matchmaking as an innovative tool for a network-driven event industry," Proc. SPIE 12526, Multimodal Image Exploitation and Learning 2023 , 1252603 (Presented at SPIE Defense + Commercial Sensing: May 01, 2023; Published: 15 June 2023); https://doi.org/10.1117/12.2664391.