IDEAS home Printed from https://ideas.repec.org/h/zbw/entr24/317950.html
   My bibliography  Save this book chapter

Challenges of Industry Portfolio Management with Artificial Intelligence

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024

Author

Listed:
  • Alexandru Silviu, Goga

Abstract

Artificial intelligence has evolved from early concepts like Turing's machine to today's advanced vision, machine learning and neural networks. AI revolutionizes various industries: manufacturing processes, financial services, healthcare and energy management. These applications highlight AI's role in augmenting human capabilities and driving industry innovation and efficiency. The paper aims to explore the intricacies and hurdles associated with integrating AI into the realm of industry portfolio management. The primary goal of this study is to critically assess how AI can optimize portfolio management in various industries. Methodologically, the paper adopts a multi-dimensional approach, analysing case studies across different sectors, and employing a comparative use of AI-driven and traditional portfolio management strategies. The conclusion emphasizes that while AI can significantly improve predictive accuracy and operational efficiency, its effectiveness is largely contingent on the quality of data and the adaptability of algorithms to dynamic market conditions. Secondly, the paper addresses the critical need for balancing technological innovation with ethical considerations and regulatory compliance, especially in data-sensitive industries. Finally, it suggests that the successful integration of AI in portfolio management requires a synergistic approach, combining technological prowess with human expertise to mitigate risks and capitalize on opportunities presented by AI advancements.

Suggested Citation

  • Alexandru Silviu, Goga, 2025. "Challenges of Industry Portfolio Management with Artificial Intelligence," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2024), Hybrid Conference, Dubrovnik, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024, pages 64-72, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    • Handle: RePEc:zbw:entr24:317950
    DOI: 10.54820/entrenova-2024-0007
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/317950/1/entrenova-2024-0007.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.54820/entrenova-2024-0007?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
    ---><---

    More about this item

    Keywords

    artificial intelligence; ethics; quality; data; algorithms; market;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    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:zbw:entr24:317950. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.entrenova.org/ .

    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.