AI-Lab
Realizing the value of data with intelligent solutions
Artificial Intelligence
Artificial intelligence (AI) has found its way into private and business life in a variety of ways in recent years. Within the framework of various projects and initiatives, we research practice-relevant questions in order to support companies in the design of AI-based innovations as well as their individual AI-transformation. For example, we are investigating how data can be used in a socially and ethically responsible manner by means of machine learning. In the spirit of Business & Information Systems Engineering (BISE) as an interface and transfer discipline, we take on an integrating role in order to answer questions of practical relevance.
Application-based view
We identify and evaluate AI-usage from a business perspective
Cross-technological approach
Interdisciplinary domain and technology knowledge enables us to answer practice-relevant questions
Methodological know-how
From descriptive statistics to data analysis and machine learning – we have comprehensive methodological expertise at our command

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AI-Innovations

In cooperation with companies, we develop innovative AI-applications based on our technology and methodology expertise
Exemplary project tasks:- Data collection, evaluation and analysis
- Development and evaluation of AI-usage scenarios
- Stakeholder analysis
- Derivation of ethical, legal and social implications
- Designing human-AI interactions
AI-Transformations

In cooperation with companies, we create the conditions to enable a comprehensive transformation
Exemplary project tasks:- Strategy development
- Readiness check
- Organizational design
- Transformation support
- Workshops & Presentations
Our main areas of research
AI-research has been advancing with rapid strides, especially in recent years. At the latest since DeepMind’s AlphaGo, it has become clear that computers can outperform humans even in more complex problems. This opens up a wide variety of possible applications of AI for research. Thus, we are involved in the identification of AI-usage, its development, and its impact on users, products, services, and processes. However, it should be noted that the most appealing application offers no benefit if the organization is not yet ready for AI applications, and thus the transformation to an AI-capable organization also plays a crucial role from a scientific perspective. Since a organization is composed of a wide variety of people, it is also important to consider how to get these AI-users on board and, if necessary, address concerns such as a lack of trust in the sense of AI explaining itself. With all the benefits and huge potential of AI, however, the societal component must not be left aside and so, in the spirit of Business & Information Systems Engineering, we also investigate ethical, legal and social aspects of the use of AI.
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Our activities
The Research Center Finance & Information Management deals with relevant real-world problems in publicly funded fundamental research projects as well as in applied research projects with practical partners. In doing so, it develops unique and novel solutions in collaboration with its partners based on its insights into the current state of research, its practical experience, and the interdisciplinarity and enthusiasm of its team. Selected projects are:
- TRiP:
Big Data-based approaches for intelligent collection and analysis of production mass data. - Energy Baden-Württemberg:
Identification of AI-usage in controlling - Ernst & Young:
Study on the challenges and implications for human-AI interaction - Norddeutsche Landesbank:
Development of innovative data-driven services based on Big Data & Analytics - PräDiTec:
Influence of the use of AI on the stress perception of employees - DaSIe:
Data-based services for industrial companies - Bavarian Center for Battery Technology:
Intelligent control and training of electrochemical energy storage systems
Through the Cognitive Functions Lens : A Socio-Technical Analysis of Predictive Maintenancepresented at: 16. Internationale Tagung Wirtschaftsinformatik, Duisburg/Essen, Germany, 2021 | Stohr, AlexanderO'Rourke, Jamie | |
Call me maybe : Methods and practical implementation of artificial intelligence in call center arrivals' forecastingin: Journal of Business Research, 2021 | Albrecht, TobiasRausch, Theresa MariaDerra, Nicholas Daniel | |
Innovating with Artificial Intelligence : Capturing the Constructive Functional Capabilities of Deep Generative Learningpresented at: 54th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii (Virtual), 2021 | Hofmann, PeterRückel, TimonUrbach, Nils | |
Benchmarking Energy Quantification Methods to Predict Heating Energy Performance of Residential Buildings in Germanyin: Business & Information Systems Engineering, 2021 | Wenninger, SimonWiethe, Christian | |
A Holistic Framework for AI Systems in Industrial Applicationspresented at: 16. Internationale Tagung Wirtschaftsinformatik, Duisburg/Essen, Germany, 2021 | Kaymakci, CanWenninger, SimonSauer, Alexander | |
Ready or Not, AI Comes : An Interview Study of Organizational AI Readiness Factorsin: Business & Information Systems Engineering, 2021 | Jöhnk, JanWeißert, MalteWyrtki, Katrin | |
The Advance of the Machines : Vision und Implikationen einer Machine Economy | Urbach, NilsAlbrecht, TobiasGuggenberger, TobiasJöhnk, JanArnold, LaurinGebert, JuliaJelito, DennisLämmermann, LuisSchweizer, André | |
KI-Anwendungsfälle zielgerichtet identifizierenin: Wirtschaftsinformatik & Management, 2020 | Hofmann, PeterJöhnk, JanProtschky, DominikStähle, PhilippUrbach, NilsBuck, Christoph | |
KI, mein Freund und Helfer - Herausforderungen und Implikationen für die Mensch-KI-Interaktionin: Aviso : Zeitschrift für Wissenschaft und Kunst in Bayern, 2020 | Jöhnk, JanUrbach, Nils | |
Moral agency without responsibility? : Analysis of three ethical models of human-computer interaction in times of artificial intelligence (AI)in: De Ethica, 2020 | Fritz, AlexisBrandt, WiebkeGimpel, HennerBayer, Sarah | |
Affordance-Experimentation-Actualization Theory in Artificial Intelligence Research : a Predictive Maintenance Storypresented at: 40th International Conference on Information Systems, Munich, 2019 | Keller, RobertStohr, AlexanderFridgen, GilbertLockl, JannikRieger, Alexander | |
Think beyond tomorrow : KI, mein Freund und Helfer : Herausforderungen und Implikationen für die Mensch-KI-Interaktion2019 | Alan, YilmazUrbach, NilsHinsen, SilvanaJöhnk, JanBeisel, PatrickWeißert, MalteBlumenthal, StephanHofmann, Peter | |
KI - Eine Aufgabe für das ganze Unternehmenin: CIO Jahrbuch 2020 : Prognosen zur Zukunft der IT, München, 2019 | Urbach, NilsHofmann, PeterProtschky, Dominik | |
Inter-technology relationship networks : Arranging technologies through text miningin: Technological Forecasting and Social Change, 2019 | Hofmann, PeterKeller, RobertUrbach, Nils | |
Ein Entscheidungsunterstützungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalysepresented at: 14th International Conference on Wirtschaftsinformatik (WI), Siegen, Germany, 2019 | Töppel, Jannick | |
How to Structure a Company-wide Adoption of Big Data Analyticspresented at: 14th International Conference on Wirtschaftsinformatik (WI), Siegen, Germany, 2019 | Bürger, Olga | |
A D-Vine Copula Quantile Regression Approach for the Prediction of Residential Heating Energy Consumption Based on Historical Datain: Applied Energy, 2019 | Niemierko, RochusTöppel, JannickTränkler, Timm | |
AI-Based Digital Assistants : Opportunities, Threats, and Research Perspectivesin: Business & Information Systems Engineering, 2019 | Mädche, AlexanderLegner, ChristineBenlian, AlexanderBerger, BenediktGimpel, HennerHess, ThomasHinz, OliverMorana, StefanSöllner, Matthias | |
Machine Learning approaches along the Radiology Value Chain : Rethinking Value Propositionspresented at: 27th European Conference on Information Systems (ECIS), Stockholm, Sweden, 2019 | Hofmann, PeterOesterle, SeverinRust, PaulUrbach, Nils | |
Process Forecasting : Towards Proactive Business Process Managementpresented at: 16th International Conference on Business Process Management (BPM), Sydney, Australia, 2018 | Poll, RouvenPolyvyanyy, ArtemRosemann, MichaelRöglinger, MaximilianRupprecht, Lea | |
Relating brand confusion to ad similarities and brand strengths through image data analysis and classificationin: Advances in Data Analysis and Classification, 2018 | Baier, DanielFrost, Sarah | |
Big Data beats engineering in residential energy performance assessment : a case studypresented at: DACH+ Energieinformatik 2017, Lugano, Switzerland, 2017 | Fridgen, GilbertGuggenmos, FlorianRegal, ChristianSchmidt, Marco | |
PRISM : A Predictive Risk Monitoring Approach for Business Processespresented at: 14th International Conference on Business Process Management (BPM), Rio de Janeiro, Brazil, 2016 | Conforti, RaffaeleFink, SvenManderscheid, JonasRöglinger, Maximilian | |
Smart Data Transformation : Surfing the Big WaveFraunhofer FIT, 2016 | Oesterle, SeverinUrbach, NilsDanahar, Markvan Haaren, ErikSchulte, TimoVuyyuru, Prasad | |
Image Feature Selection for Market Segmentation : a Comparison of Alternative Approachesin: Spiliopoulou, Myra (Hrsg.): Data analysis, machine learning and knowledge discovery, Springer, Cham, 2014 | Baier, DanielRumstadt, Susanne | |
Think Big with Big Data : Identifying Suitable Big Data Strategies in Corporate Environmentspresented at: 47th Annual Hawaii International Conference on Systems Sciences (HICSS), Waikoloa, USA, 2014 | Ebener, KatharinaBühnen, ThiloUrbach, Nils | |
Big Data : A fashionable topic with(out) sustainable relevance for research and practice?in: Business & Information Systems Engineering, 2013 | Buhl, Hans UlrichMoser, FlorianHeidemann, JuliaRöglinger, Maximilian | |
Big Data – Ein (ir-)relevanter Modebegriff für Wissenschaft und Praxis?in: Wirtschaftsinformatik & Management, 2013 | Buhl, Hans UlrichRöglinger, MaximilianMoser, FlorianHeidemann, Julia | |
Using Image Analysis for Improving Marketing Strategy : Algorithms for Feature Extraction and Model Buildingpresented at: Data Mining : 2nd International Workshop on Big Data in Business and Marketing, Osaka, Japan, 2013 | Baier, DanielDaniel, Ines | |
The Conclusion of Contracts by Software Agents in the Eyes of the Law : Reprint des gleichnamigen Beitrags auf der 7th Intl. Conf. on Autonomous Agents and Multi-Agent Systemsin: Padmavathi, L. (Hrsg.): Software Agents and Law, The Icfai University Press, Hyderabad, Andhra Pradesh, India, 2010 | Balke, TinaEymann, Torsten | |
From Real-World Regulations to Concrete Norms for Software Agents : A Case-Based Reasoning Approachin: Poblet, Marta ; Schild, Uri ; Zeleznikow, John (Hrsg.): Legal and Negotiation Support Systems 2009, Aachen, 2009 | Balke, TinaNovais, PauloAndrade, FranciscoEymann, Torsten | |
Towards Reputation Enhanced Electronic Negotiations for Service Oriented Computingin: Falcone, Rino ; Barber, K. Suzanne ; Sabater Mir, Jordi ; Singh, Munindar P. (Hrsg.): Trust in agent societies : 11th international workshop ; TRUST 2008, Estoril, Portugal, May 12 - 13, 2008 ; revised selected and invited papers, Springer, Berlin ; Heidelberg, 2008 | König, StefanHudert, SebastianEymann, TorstenPaolucci, Mario | |
Self-Organized Scheduling in Hospitals by Connecting Agents and Mobile Devicesin: Kirn, Stefan ; Herzog, Otthein ; Lockemann, Peter ; Spaniol, Otto (Hrsg.): Multiagent engineering : theory and applications in enterprises, Springer, Berlin, 2006 | Eymann, TorstenMüller, GünterStrasser, Moritz | |
Softwareagenten in der Krankenhauslogistik : ein Ansatz zur effizienten Ressourcenallokationin: Haas, Peter (Hrsg.): eHealth, dpunkt-Verl., Heidelberg, 2006 | Niemann, ChristophEymann, Torsten | |
Privacy Issues of Combining Ubiquitous Computing and Software Agent Technology in a Life-Critical Environmentin: 2004 IEEE International Conference on Systems, Man & Cybernetics : The Hague, Netherlands, 10 - 13 October 2004. Vol. 6, IEEE Operations Center, Piscataway, NJ, 2004 | Eymann, TorstenMorito, Hajime | |
Digitale Geschäftsagenten: Softwareagenten im EinsatzSpringer, Berlin, 2003 | Eymann, Torsten | |
Optimizing Strategy in Agent-based Automated Negotiationin: Uhr, Wolfgang ; Esswein, Werner ; Schoop, Eric (Hrsg.): Wirtschaftsinformatik 2003 : Medien - Märkte - Mobilität. Band 1, Physica-Verlag, Heidelberg, 2003 | Meyer, JörgEymann, Torsten | |
The real challenges of mobile agentsin: Communications of the ACM, 2000 | Schoder, DetlefEymann, Torsten | |
Blackboardbasierte Systemunterstützung von Allfinanzangebotsprozessenin: Künstliche Intelligenz, 1996 | Einsfeld, UrikeWill, Andreas | |
Verteiltes Suchen und Erkennen zur Erstellung von Finanzdienstleistungenin: Künstliche Intelligenz, 1996 | Buhl, Hans UlrichRoemer, MarkSandbiller, Klaus |