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Artificial Intelligence: Transitioning From Science Fiction To Achieving Business Excellence

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Listed:
  • Raluca Elena GHINEA
  • Dan POPESCU
  • Iolanda Petronela GROSU
  • Andrei Edward DINICU
  • Xiaoliang ZHANG

Abstract

The first entrepreneurial activities date back many centuries. Developing and managing a business does not always mean that the business is successful, moreover, not every entrepreneur has managed to reach the level of excellence. Over the years, entrepreneurial activities have become more and more diverse and the ways to develop them have required more and more research and development to identify ways to innovate. Excellence in business is not easy to achieve, depending on the field of activity it may also require invention, not just innovation. However, we see that the pace of development in the markets is one that could not have been anticipated 20 years ago on such a scale, and this development has allowed the business to evolve along trajectories that, surely, decades ago were classified as science fiction. Artificial intelligence offers countless insights, sometimes giving the impression that the means of using it are limitless and certainly constantly innovative. In this article we will briefly look at how it evolved, the advantages and disadvantages of using it and, of course, how using it leads to business excellence.

Suggested Citation

  • Raluca Elena GHINEA & Dan POPESCU & Iolanda Petronela GROSU & Andrei Edward DINICU & Xiaoliang ZHANG, 2023. "Artificial Intelligence: Transitioning From Science Fiction To Achieving Business Excellence," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 17(1), pages 61-75, November.
    • Handle: RePEc:rom:mancon:v:17:y:2023:i:1:p:61-75
    DOI: 10.24818/IMC/2023/01.06
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    References listed on IDEAS

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    1. Roberto S. Santos & Lingling Qin, 2019. "Risk Capital and Emerging Technologies: Innovation and Investment Patterns Based on Artificial Intelligence Patent Data Analysis," JRFM, MDPI, vol. 12(4), pages 1-24, December.
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