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Profiting From Digital Transformation?: Combining Data Management and Artificial Intelligence

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  • Ulrich Lichtenthaler

    (ISM International School of Management, Germany)

Abstract

Many companies have recently started digital transformation initiatives, and they now increasingly focus on artificial intelligence (AI). By means of smart algorithms and advanced analytics, firms attempt to leverage some of the results of their ongoing digital transformation initiatives, for example with regard to data about their established business operations. A conceptual framework underscores the need for combining data management and AI initiatives in order to ensure a firm's digital readiness and to realize digital business opportunities subsequently. An overview of recent trends further illustrates how different companies respond to these managerial challenges. This paper contributes to the literature on digitalization, AI, and ‘integrated intelligence' by highlighting the role of AI for leveraging data from digital transformation initiatives. Specifically, the use of AI applications helps companies to turn data into valuable knowledge and intelligence. In addition, this paper provides new knowledge about achieving superior performance in the digital economy.

Suggested Citation

  • Ulrich Lichtenthaler, 2021. "Profiting From Digital Transformation?: Combining Data Management and Artificial Intelligence," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 12(5), pages 68-79, September.
    • Handle: RePEc:igg:jssmet:v:12:y:2021:i:5:p:68-79
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    Cited by:

    1. Shafiqul Hassan & Mohsin Dhali & Saghir Munir Mehar & Fazluz Zaman, 2022. "Islamic Securitization as a Yardstick for Investment in Islamic Capital Markets," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-15, January.
    2. Babucea Ana-Gabriela & Rabontu Cecilia-Irina, 2022. "Big Data Analytics In The Context Of Business Enterprises," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 67-74, February.

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