A Study on AI-Based Content Generation Automation
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초록
This study explores the latest trends and applications of AI-based content generation automation technologies. To address the rapidly increasing demand for content in the digital age, AI technologies are providing innovative solutions across various domains. The research findings demonstrate that unified AI solutions can efficiently generate diverse forms of content, including audio, video, and images. In the business sector, AI shows diverse application possibilities, including marketing automation, personalized content creation, and decision support. In the field of education, research is ongoing to provide personalized learning experiences through the integration of AI. The development of AI-based trailer generation technology for online courses is also underway. This study demonstrates that AI-based content generation automation technologies are significantly contributing to productivity enhancement and creativity promotion. Future research should focus on improving the quality of AI-generated content, ethical use, and developing human-AI collaboration models.
Abstract
This study explores the latest trends and applications of AI-based content generation automation technologies. To address the rapidly increasing demand for content in the digital age, AI technologies are providing innovative solutions across various domains. The research findings demonstrate that unified AI solutions can efficiently generate diverse forms of content, including audio, video, and images. In the business sector, AI shows diverse application possibilities, including marketing automation, personalized content creation, and decision support. In the field of education, research is ongoing to provide personalized learning experiences through the integration of AI. The development of AI-based trailer generation technology for online courses is also underway. This study demonstrates that AI-based content generation automation technologies are significantly contributing to productivity enhancement and creativity promotion. Future research should focus on improving the quality of AI-generated content, ethical use, and developing human-AI collaboration models.
참고문헌 (5)
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- Ishmam Ahmed Solaiman, "Educational content generation using multi-LLM agents", International Robotics & Automation Journal, 10(3), pp.85~87 (2024)
- Jae-Young Lee, "Exploring the Effectiveness of the Automation System of Generative AI-Enabled Hyper-Personalized Marketing : Future Directions and Strategic Implications", Journal of Digital Contents Society, 25(3), pp.823~632 (2024)
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