Generative artificial intelligence enters industrial applications! But no matter how 'smart' it is, it is still a tool, and its ultimate goal is to serve people.

AI (artificial intelligence) never eliminates you, but those who master this tool win the competition. "An important tool to promote industrial innovation, generative artificial intelligence AIGC is developing rapidly." Yesterday (8th), as one of the important events of the 2023 World Artificial Intelligence Conference, the "Artificial Intelligence and Creativity: The Possibility of Industry Embracing AIGC" forum was held in Xuhui West Bund. This view has also become the consensus of experts attending the meeting.

What’s so “smart” about generative artificial intelligence? Through training models and learning from large amounts of data, AIGC can generate content related to input conditions or prompts. For example, by entering keywords, descriptions or samples, AIGC can generate matching articles, images, audio and other content.

Therefore, in the eyes of many industry founders present, the potential of AIGC can be quickly integrated into thousands of industries to promote industrial development and social progress.

"Generative artificial intelligence will empower the imagination of more industries." Fan Ling, founder and CEO of Tezign Technology and director of the Design Artificial Intelligence Laboratory of Tongji University, said that in the early days of generative artificial intelligence technology, it is necessary to More of the founder spirit of “do it first and know it later”. But we must also remember: the ultimate goal of technological development is to serve people. Human-machine collaboration should make people's work happier and happier, rather than making people "tool people."

Currently, Tezan Technology has developed proprietary models for marketing content and image creation scenarios to help enterprises and creators achieve their content management, accumulation, production, and analysis needs.

Li Lin, chief marketing officer of L'Oréal North Asia and China, has been deeply involved in the beauty industry for many years. She clearly sees that the original situation of "one traditional advertising dominates the world" is gone forever. AIGC has formed a broader ecosystem in content generation and other aspects, and has also promoted changes on the market and agency sides to some extent, allowing people to have more time to focus on creativity and inspiration.

Feng Zhuo, Osram Automotive Lighting Asia Pacific Marketing Director, further added that if we clearly clarify our needs to AI, we will get a variety of innovative feedback. Then talents with standardized and routine content are bound to be eliminated. In the era of the rise of generative artificial intelligence, what we need more is people with the ability to graft ecological resources. They can often get better KOL resources, venue resources, virtual display technology resources for exhibits, etc.

Zhou Jiangong, founder of Unfinished Research, released the latest research results "The Current Situation of Generative Artificial Intelligence in 2023" at the scene. The report emphasizes that generative artificial intelligence has taken a big step towards innovative applications in the direction of general artificial intelligence, and the release of GPT-4 marks the beginning of this stage. At this stage, the key is to combine application, research and supervision to jointly create an innovative path for generative artificial intelligence.

He said that regarding the commercialization direction of China's general AI companies, investment institutions are currently more optimistic about application fields that combine suitable scenarios, mature business depth, rich data accumulation and large models.

Zhou Jiangong’s speech resonated with many guests. Experts attending the meeting focused on "AIGC and digital strategy", discussed the actual current situation of AIGC application in industries, and discussed the future trends of AIGC technology application and which industries may be the first to implement AIGC applications.

Author: Wang Wanyi

Editor: Zhang Xiaoming

*Wenhui exclusive manuscript, please indicate the source when reprinting.

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