CEO Kim Donghwan: "Insufficient Multimodal Learning Data... Need for Construction and Opening"
Ministry of Science and ICT-NIA Meetup Event
Kim Dong-hwan, CEO of FortyTwoMaru, said on the 28th, "There needs to be significant investment in multimodal learning data."
On the same day, Kim delivered the keynote speech at the 'Data-Centric AI Acceleration Meetup' event hosted by the Ministry of Science and ICT and the National Information Society Agency (NIA) in Jung-gu, Seoul, where he made these remarks.
He introduced multimodal technology that combines not only text but also voice, images, and videos, such as Sora developed by OpenAI and GPT-4o.
Kim stated, "Competition for the advancement of multimodal technology and data learning will intensify until next year," and diagnosed that "there is insufficient learning data for multimodal in Korea."
He continued, "There is little publicly available data, so many companies are unable to engage," describing the industry situation. He also emphasized that the data preprocessing stage is crucial for AI models to function properly. He added, "Sometimes, more time and cost are spent on organizing and maintaining data."
He reiterated, "The current approach to large-scale AI often involves learning from massive amounts of data," emphasizing that "data construction and openness are necessary, and infrastructure investment must be actively pursued."
Furthermore, he explained that tasks in fields such as shipbuilding and marine, automobile maintenance, and money laundering investigations, which were previously entrusted to 'veterans' with extensive experience and know-how, are now partially being handled by AI.
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Kim predicted, "When designing LNG ship blueprints in the shipbuilding and marine sector, about 50 engineers are involved, and it takes about 10 months to a year," adding, "Within 2 to 3 years, AI will have advanced to a level where it can complete this within a week."
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