IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2020i1p14-21.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.eia.feaa.ugal.ro/images/eia/2020_1/Mazilescu.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.35219/eai1584040976?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    2. Martina Aronica & Rubinia Celeste Bonfanti & Davide Piacentino, 2021. "Social media adoption in Italian firms. Opportunities and challenges for lagging regions," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 959-978, August.
    3. Chen, Jean Jinghan & Cui, Chuantao & Hunt, Richard A. & Li, Leona Shao-Zhi, 2020. "External enablement of new venture creation: An exploratory, query-driven assessment of China's high-speed rail expansion," Journal of Business Venturing, Elsevier, vol. 35(6).
    4. Dominic Chalmers & Niall G. MacKenzie & Sara Carter, 2021. "Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution," Entrepreneurship Theory and Practice, , vol. 45(5), pages 1028-1053, September.
    5. Brown, Ross & Rocha, Augusto, 2020. "Entrepreneurial uncertainty during the Covid-19 crisis: Mapping the temporal dynamics of entrepreneurial finance," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    6. Reem Mahmoud Ahmad Mashat, 2021. "The Effect of the Use and Knowledge of AI on the Advanced Entrepreneurship in Saudis Small Business and Startups," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(12), pages 1-35, July.
    7. Santos, Susana C. & Caetano, António & Costa, Sílvia F. & Rueff Lopes, Rita & Silva, Ana Junça & Neumeyer, Xaver, 2020. "Uncovering the affective turmoil during opportunity recognition and exploitation: A nonlinear approach," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    8. David B. Audretsch & Maksim Belitski & Rosa Caiazza & Erik E. Lehmann, 2020. "Knowledge management and entrepreneurship," International Entrepreneurship and Management Journal, Springer, vol. 16(2), pages 373-385, June.
    9. Mohammad Rashed Hasan Polas & Valliappan Raju, 2021. "Technology and Entrepreneurial Marketing Decisions During COVID-19," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 95-112, June.
    10. Chan, C.S. Richard & Pethe, Charuta & Skiena, Steven, 2021. "Natural language processing versus rule-based text analysis: Comparing BERT score and readability indices to predict crowdfunding outcomes," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
    11. Kopka, Alexander & Grashof, Nils, 2022. "Artificial intelligence: Catalyst or barrier on the path to sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Mattila, Juri & Seppälä, Timo & Salakka, Kaisa, 2021. "The Little Engines That Could – Game Industry Platforms and the New Drivers of Digitalization," ETLA Brief 101, The Research Institute of the Finnish Economy.
    13. Marie Madeleine Meurer & Matthias Waldkirch & Peter Kalum Schou & Eliane Léontine Bucher & Katrin Burmeister-Lamp, 2022. "Digital affordances: how entrepreneurs access support in online communities during the COVID-19 pandemic," Small Business Economics, Springer, vol. 58(2), pages 637-663, February.
    14. Steve J. Bickley & Alison Macintyre & Benno Torgler, 2021. "Artificial Intelligence and Big Data in Sustainable Entrepreneurship," CREMA Working Paper Series 2021-11, Center for Research in Economics, Management and the Arts (CREMA).
    15. David Mhlanga, 2021. "Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    16. Huanhuai Zhou & Hongming Xie & Xiaoping Chen, 2024. "Sustainable Development of Platform Enterprises: A Synthesis Framework," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    17. David Mhlanga, 2021. "Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment," IJFS, MDPI, vol. 9(3), pages 1-16, July.
    18. Padmanathan Kasinathan & Rishi Pugazhendhi & Rajvikram Madurai Elavarasan & Vigna Kumaran Ramachandaramurthy & Vinoth Ramanathan & Senthilkumar Subramanian & Sachin Kumar & Kamalakannan Nandhagopal & , 2022. "Realization of Sustainable Development Goals with Disruptive Technologies by Integrating Industry 5.0, Society 5.0, Smart Cities and Villages," Sustainability, MDPI, vol. 14(22), pages 1-31, November.
    19. George Amoako & Paul Omari & Desmond K. Kumi & George Cudjoe Agbemabiase & George Asamoah, 2021. "Conceptual Framework—Artificial Intelligence and Better Entrepreneurial Decision-Making: The Influence of Customer Preference, Industry Benchmark, and Employee Involvement in an Emerging Market," JRFM, MDPI, vol. 14(12), pages 1-20, December.
    20. Tobias Kollmann & Lucas Kleine-Stegemann & Katharina Cruppe & Christina Then-Bergh, 2022. "Eras of Digital Entrepreneurship," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(1), pages 15-31, February.

    More about this item

    Keywords

    HPC; AI; Cloud Computing; TM; 5G;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ddj:fseeai:y:2020:i:1:p:14-21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.