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Evaluation of Selected Artificial Intelligence Technologies for Innovative Business Intelligence Applications

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Advances in Systems Engineering (ICSEng 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 364))

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Abstract

The paper presents an evaluation of selected Artificial Intelligence related technologies and tools as candidates for innovative applications for sustainable Business Intelligence development. A set of core properties defining the functional features, strengths and potential impact of selected technologies on sustainable development of Business Intelligence was identified and their essential characteristic features were highlighted. Both classical and modern technologies were examined with respect to the selected features. As the final result, a summary of impact for innovative applications of AI in BI is presented in tabular form. The presented study may be influencing strategic decisions for efficient selection and combination AI-related tools in management. It should inspire a further discussion both on further progress in selected directions, but also about the visible synergy effect and possibility of its enforcement.

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Notes

  1. 1.

    See e.g.: https://en.wikipedia.org/wiki/Business_intelligence.

  2. 2.

    Based on ISO 9126: https://en.wikipedia.org/wiki/ISO/IEC_9126.

  3. 3.

    https://opensource.google/projects/logica.

  4. 4.

    https://opensource.googleblog.com/2021/04/logica-organizing-your-data-queries.html.

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Authors and Affiliations

  1. AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059, Krakow, Poland

    Antoni Ligęza, Krzysztof Kluza, Paweł Jemioło, Dominik Sepioło, Piotr Wiśniewski & Krystian Jobczyk

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  1. Antoni Ligęza
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  2. Krzysztof Kluza
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Editors and Affiliations

  1. Department of Computer Science and Systems Engineering, Faculty of Information and Communication Technology, Wrocław University of Science and Technology, Wrocław, Poland

    Leszek Borzemski

  2. Department of Electrical and Computer Engineering, Howard R. Hughes College of Engineering, University of Nevada, Las Vegas, USA

    Henry Selvaraj

  3. Department of Computer Science and Systems Engineering, Faculty of Information and Communication Technology, Wrocław University of Science and Technology, Wrocław, Poland

    Jerzy Świątek

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Ligęza, A., Kluza, K., Jemioło, P., Sepioło, D., Wiśniewski, P., Jobczyk, K. (2022). Evaluation of Selected Artificial Intelligence Technologies for Innovative Business Intelligence Applications. In: Borzemski, L., Selvaraj, H., Świątek, J. (eds) Advances in Systems Engineering. ICSEng 2021. Lecture Notes in Networks and Systems, vol 364. Springer, Cham. https://doi.org/10.1007/978-3-030-92604-5_11

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