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This article provides an overview of generative artificial intelligence along with the main types of generative models, including Generative Adversarial Networks, Variational Autoencoders, Autoregressive Models, and others. Additionally, the article discusses how Generative AI is applied across various industries, such as Healthcare, Finance, Retail, Education, Media and Entertainment, Hospitality and Tourism, Architecture, Engineering, and Construction. Furthermore, a study on the impact of GenAI on business operations is conducted, along with recent trends and statistics regarding the adoption of Generative AI by companies. Toward the end of this article, the challenges and risks associated with these technologies are reviewed.

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Generative AI in Digital Business: Trends and Challenges

  • 会议论文

  • 发表日期：

    2026年

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  • Mihai-Nicolae Dulgheru

摘要

This article provides an overview of generative artificial intelligence along with the main types of generative models, including Generative Adversarial Networks, Variational Autoencoders, Autoregressive Models, and others. Additionally, the article discusses how Generative AI is applied across various industries, such as Healthcare, Finance, Retail, Education, Media and Entertainment, Hospitality and Tourism, Architecture, Engineering, and Construction. Furthermore, a study on the impact of GenAI on business operations is conducted, along with recent trends and statistics regarding the adoption of Generative AI by companies. Toward the end of this article, the challenges and risks associated with these technologies are reviewed.