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

dc.contributor.authorDaněk, Josef
dc.contributor.authorPospíšil, Jan
dc.date.accessioned2025-06-20T08:33:23Z
dc.date.available2025-06-20T08:33:23Z
dc.date.issued2024
dc.date.updated2025-06-20T08:33:23Z
dc.description.abstractThis 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.en
dc.format12
dc.identifier.doi10.24132/jbt.2024.14.2.35_46
dc.identifier.issn2788-0079
dc.identifier.obd43945822
dc.identifier.orcidDaněk, Josef 0000-0002-9744-5107
dc.identifier.orcidPospíšil, Jan 0000-0002-4288-1614
dc.identifier.urihttp://hdl.handle.net/11025/60143
dc.language.isoen
dc.relation.ispartofseriesTrendy v podnikání
dc.rights.accessA
dc.subjectgenerative AI autonomous agentsen
dc.subjectbusiness trendsen
dc.subjectsmart learningen
dc.subjectbusiness intelligenceen
dc.subjectAI-driven Innovationen
dc.titleHow generative AI autonomous agents shape the current business trends and smart learningen
dc.typeČlánek v recenzovaném periodiku (Jost)
dc.typeČLÁNEK
dc.type.statusPublished Version
local.files.count1*
local.files.size212123*
local.has.filesyes*

Files

Original bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
5_Danek_Pospisil.pdf
Size:
207.15 KB
Format:
Adobe Portable Document Format
License bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections