Logo des Repositoriums

Auflistung nach Autor:in "Sebrak, Sebastian"

1 - 2 von 2
  • Konferenzbeitrag
    Capabilities of Gen AI
    (INFORMATIK 2024, 2024) Sultanow, Eldar; Ulrich, Marc; Kamel, Zied; Sebrak, Sebastian; Pomaskow, Joanna; Gobinathan, Balaji; Czarnecki, Christian; Chircu, Alina; Grum, Marcus
    In an era of rapid technological advancement, the field of Generative Artificial Intelligence (GenAI) has become a focus of innovation and exploration. While technologies, such as ChatGPT, have attracted significant attention, there remains an urgent need for a comprehensive capability map that describes the potential applications and value propositions of GenAI for enterprises and larger endeavors. This paper fills this gap by presenting a detailed capability map for GenAI, outlining its diverse applications and highlighting the untapped opportunities for utilizing these technologies in various fields. By explaining the countless possibilities of GenAI beyond ChatGPT and similar applications, this capability map aims to provide clarity and guidance for organizations looking to leverage the transformative potential of these technologies for their operational and strategic initiatives.
  • Konferenzbeitrag
    Visual analytics for knowledge management
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Vladova, Gergana; Ullrich, André; Sultanow, Eldar; Tobolla, Marinho; Sebrak, Sebastian; Czarnecki, Christian; Brockmann, Carsten
    The management of knowledge in organizations considers both established long-term processes and cooperation in agile project teams. Since knowledge can be both tacit and explicit, its transfer from the individual to the organizational knowledge base poses a challenge in organizations. This challenge increases when the fluctuation of knowledge carriers is exceptionally high. Especially in large projects in which external consultants are involved, there is a risk that critical, company-relevant knowledge generated in the project will leave the company with the external knowledge carrier and thus be lost. In this paper, we show the advantages of an early warning system for knowledge management to avoid this loss. In particular, the potential of visual analytics in the context of knowledge management systems is presented and discussed. We present a project for the development of a business-critical software system and discuss the first implementations and results.