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Junior Professorship for Business Information Systems, esp. AI-based Application Systems

We're a dynamic team of interdisciplinary experts at the intersection of Artificial Intelligence and Business Informatics.

In teaching, research and transfer, we focus on bringing intelligent behavior into application systems and understanding the research subject of AI-based application systems.

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Released AI Models

Public Repositories

Worldwide Students

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AI Courses

First AI-based, process-oriented, data-driven modeling software in the business

Grow your AI by using the CoNM.

We construct and deal with AI by using the Concept of Neuronal Modeling (CoNM). As we provide research perspectives on various facets of AI-based application systems, the efficient and effective AI setup is clarified and can be easily managed.

Whether you base your ERP system, your Industry4.0 systems or any other kind of system on AI, our resarch will support and optimize your business.

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What We Do Best

Researching lasting AI experiences

AI Knowledge Extraction

The identification of an AI's artificial knowledge and present this as modeling objects making the AI's behavior plausible.

AI Hacking and Debugging

Guiding an AI and managing AI model evoluitions to establish desired AI competencies - this includes learning, forgetting and neuronal debugging.

AI Process Automation

Drafting digital and neuronal twins by Neuronal process modeling (NPM), neuronal process simulation (NPS) and Neuronal process optimization (NPO) to desired outcome.

Recent Works

We've done a lot, let's check some out:

  • Journal Article (IJKM)

    Journal Article (IJKM)

    Grum, M. and Gronau, N. (2024). "The Meaningfulness of Knowledge for the Design of Sustainable AI". International Journal of Knowledge Management (IJKM), Vol. 20, No. 1, pp. 1-45. https://doi.org/10.4018/IJKM.350409

  • Journal Article (BPMJ)

    Journal Article (BPMJ)

    Grum, M. and Gronau, N. (2024). "The impact of knowledge characteristics on process performance: experimenting with the conversion perspective on knowledge transfer velocity". Business Process Management Journal (BPMJ), Vol. 30 No. 4, pp. 1088-1110. https://doi.org/10.1108/BPMJ-10-2023-0853

  • https://link.springer.com/book/10.1007/978-3-658-35999-7

    Book

    Grum M. 2022. Construction of a Concept of Neuronal Modeling. Springer Gabler Wiesbaden, pp. 1-848. https://doi.org/10.1007/978-3-658-35999-7

  • Journal Article (JWL)

    Journal Article (JWL)

    Roling, W. M., Grum, M., Gronau, N., & Kluge, A. (2024). "The roots of errors in adaptive performance: clustering behavioral patterns after the introduction of a change". Journal of Workplace Learning, Vol. 36, No. (4), pp. 267-281. https://doi.org/10.1108/JWL-10-2023-0168

  • Journal Article (AIS TES)

    Journal Article (AIS TES)

    Grum, M., Hiessl, W., Maresch, K., & Gronau, N. (2020). Design of a Neuronal Training Modeling Language: Exemplified with the AI-Based Dynamic GUI Adaption. AIS Transactions on Enterprise Systems (AIS TES), Vol. 5, No. 1, pp. 1-16.

    https://doi.org/10.30844/aistes.v5i1.20

  • Journal Article (SMMR)

    Journal Article (SMMR)

    Ploner, T., Heß, S., Grum, M., Drewe-Boss, P., & Walker, J. (2020). "Using gradient boosting with stability selection on health insurance claims data to identify disease trajectories in chronic obstructive pulmonary disease". Statistical Methods in Medical Research (SMMR), Vol. 29, No. 12, pp. 3684-3694. https://doi.org/10.1177/0962280220938088

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    Journal Article (DSS)

    Grum, M., Bender, B., Alfa, A. S., & Gronau, N. (2018). A decision maxim for efficient task realization within analytical network infrastructures. Decision Support Systems (DSS), Vol. 112, 48-59. https://doi.org/10.1016/j.dss.2018.06.005

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    Journal Article (JIM)

    Ullrich, A., Vladova, G., Grum, M., & Marquart, D. (2018). Does size matter? The effects of enterprise size on the perception of benefits and risks of open innovation projects. Journal of Innovation Management (JIM), Vol. 6, No. 2, pp. 71-101. https://doi.org/10.24840/2183-0606_006.002_0005

    Latest News

    Check what's happening.

    Interested to cooperate? Please contact us and let's get innov.AI.tive!

    Among others, we search for...

    - research partners
    - guest lectures
    - business projects.

    We believe that the success of companies is a result of AI research.
    You like what we do? Drop us a message or give us a call.

    Information

    Universität Potsdam
    Junior-Professur für Wirtschaftsinformatik, insb. KI-basierte Anwendungssysteme
    Digitalvilla am Hedy-Lamarr-Platz
    Karl-Marx-Straße 67
    14482 Potsdam

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