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How generative AI autonomous agents shape the current business trends and smart learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43974821" target="_blank" >RIV/49777513:23520/24:43974821 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.24132/jbt.2024.14.2.35_46" target="_blank" >https://doi.org/10.24132/jbt.2024.14.2.35_46</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.24132/jbt.2024.14.2.35_46" target="_blank" >10.24132/jbt.2024.14.2.35_46</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    How generative AI autonomous agents shape the current business trends and smart learning

  • Original language description

    This paper explores the transformative impact of generative AI autonomous agents on current business trends and smart learning. It examines how these agents are reshaping industries by automating decision-making, optimizing processes, and enhancing customer experiences. Several use cases from marketing, accounting, regulations, financial analysis and business intelligence will be presented. In the context of smart learning, the paper highlights the role of GenAI agents in creating personalized educational environments, enabling adaptive learning, and facilitating content creation. By analyzing key developments and case studies, this paper illustrates the potential of GenAI to drive innovation, streamline operations, and foster intelligent learning systems across sectors.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Trendy v podnikání

  • ISSN

    2788-0079

  • e-ISSN

    2788-0079

  • Volume of the periodical

    14

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    12

  • Pages from-to

    35-46

  • UT code for WoS article

  • EID of the result in the Scopus database