HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING

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 market...

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Main Authors: Josef Daněk, Jan Pospíšil
Format: Article
Language:ces
Published: Vydavatelství ZČU v Plzni 2024-12-01
Series:Trendy v podnikání
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author Josef Daněk
Jan Pospíšil
author_facet Josef Daněk
Jan Pospíšil
author_sort Josef Daněk
collection DOAJ
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.
format Article
id doaj-art-54abacbf92324ddeb57b6e608effc47e
institution Kabale University
issn 2788-0079
language ces
publishDate 2024-12-01
publisher Vydavatelství ZČU v Plzni
record_format Article
series Trendy v podnikání
spelling doaj-art-54abacbf92324ddeb57b6e608effc47e2025-02-06T17:46:24ZcesVydavatelství ZČU v PlzniTrendy v podnikání2788-00792024-12-011423546https://doi.org/10.24132/jbt.2024.14.2.35_46HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNINGJosef Daněkhttps://orcid.org/0000-0002-9744-5107Jan Pospíšil https://orcid.org/0000-0002-4288-1614This 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.generative ai autonomous agentsbusiness trendssmart learningbusiness intelligenceai-driven innovation
spellingShingle Josef Daněk
Jan Pospíšil
HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING
Trendy v podnikání
generative ai autonomous agents
business trends
smart learning
business intelligence
ai-driven innovation
title HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING
title_full HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING
title_fullStr HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING
title_full_unstemmed HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING
title_short HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING
title_sort how generative ai autonomous agents shape the current business trends and smart learning
topic generative ai autonomous agents
business trends
smart learning
business intelligence
ai-driven innovation
work_keys_str_mv AT josefdanek howgenerativeaiautonomousagentsshapethecurrentbusinesstrendsandsmartlearning
AT janpospisil howgenerativeaiautonomousagentsshapethecurrentbusinesstrendsandsmartlearning