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
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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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
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EID of the result in the Scopus database
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