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A Helpful Analysis of the Technological Mix based on HPC and Artificial Intelligence for Maintaining Competitiveness in the Business Environment

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  • Vasile MAZILESCU

    (Dunarea de Jos University of Galati, Romania)

Abstract

Organizations from many sectors of activity, from research, production and business, invest in High Performance Computing (HPC) platforms to optimize different flows (communication, technology transfer) and to increase quality of services. HPC solutions, by their ability to process large amounts of data and perform complex calculations at very high speeds, support companies to meet the various demands of the ever-growing market and to significantly reduce the time required for product development cycles. Managers in various fields invest in the implementation of HPC solutions for technological innovation and adaptation, in ERP applications for the purpose of semantic data analysis, business analysis based on activities and for graphical analysis technologies, in the context of rapid development of IoT (IIoT) and XReality. Artificial Intelligence (AI), supported by various HPC platforms, is globally adopted to help companies automate their processes by proactively identifying and solving problems, through recommendations and solutions given to people, and by optimizing business models. HPC and cloud technology can be successfully used in economics, such as Supply Chain Management (SCM). New ecosystems based on AI, HPC and cloud-type hardware platforms are being accepted and developed in an extremely vigorous manner, which tend to compete with the performance of petascale or even exascale supercomputers for business applications. In this way, it is possible to optimize the various operations, to reduce as much as possible unnecessary or inefficient processes, to automate routine, difficult and costly human effort. The present paper aims to present these aspects of integrating HPC, AI and Cloud Computing technologies in a Technologic Mix (TM), highlighting the reality and the extremely relevant need to understand the computational power of a competitive and useful TM for the business environment, industry and research

Suggested Citation

  • Vasile MAZILESCU, 2020. "A Helpful Analysis of the Technological Mix based on HPC and Artificial Intelligence for Maintaining Competitiveness in the Business Environment," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 14-21.
  • Handle: RePEc:ddj:fseeai:y:2020:i:1:p:14-21
    DOI: https://doi.org/10.35219/eai1584040976
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    References listed on IDEAS

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    1. Davide Strusani & Georges Vivien Houngbonon, 2019. "The Role of Artificial Intelligence in Supporting Development in Emerging Markets," World Bank Publications - Reports 32365, The World Bank Group.
    2. Martin Obschonka & David B. Audretsch, 0. "Artificial intelligence and big data in entrepreneurship: a new era has begun," Small Business Economics, Springer, vol. 0, pages 1-11.
    3. Martin Obschonka & David B. Audretsch, 2019. "Artificial Intelligence and Big Data in Entrepreneurship: A New Era Has Begun," Papers 1906.00553, arXiv.org.
    4. Jia, Kai & Kenney, Martin & Mattila, Juri & Seppälä, Timo, 2018. "The Application of Artificial Intelligence at Chinese Digital Platform Giants: Baidu, Alibaba and Tencent," ETLA Reports 81, The Research Institute of the Finnish Economy.
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    Keywords

    HPC; AI; Cloud Computing; TM; 5G;
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