A Study on how to Secure Competitiveness through Case Analysis of Media and Contents using Generative AI
DOI:
https://doi.org/10.61707/9r4wdc33Keywords:
AI, Generative AI, Media, Content, ChatGPT, 3IAbstract
Due to the ChatGPT craze, all industries around the world have a hot Generative AI of interest. In particular, since Open AI announced AI Sora, which makes text into video on February 15, 2024, the media and content industries, both at home and abroad, have expressed expectations and a sense of crisis. By learning a large amount of Hyper-scale Data with artificial intelligence technology that actively generates results according to the specific needs of live Generative AI users, it is looking beyond the realm of creation, which can be called the human domain[1][2][3]. Although, unlike image-generating AI, the video live Generative AI service still has the limit of generating only short-length videos because it has to maintain temporal coherence. However, as live Generative AI developers supplement these problems and continue to offer advanced services, they will become the mainstream of live Generative AI in the media and content industries. Therefore, as of 2024, this study intends to present 3I(Inquiry-Inspection-Idea) as a strategy for competitive advantage in the media and content industries to respond to changes in the media and content industries that will be triggered by generative Generative AI along with ways to secure competitiveness through case analysis of generative Generative AI in the media and content industries[2].
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Attribution-NonCommercial-NoDerivatives 4.0