On the 11th, Skelter Labs, an artificial intelligence (AI) company (CEO Won-gyu Cho), has established an AI joint research center for the development of AI-based personalized advertising technology and algorithm optimization with IG Works (CEO: Ma Kook-seong) Revealed.
The newly established AI joint lab was established to develop and advance AI algorithms for digital customer experience innovation, and experts in the fields of big data analysis and behavior prediction, AI hyper-personalization, and marketing platform of both companies were introduced. Skelter Labs plans to cooperate with IG Works to develop new AI models and optimize personalized advertising algorithms based on AIQ.AWARE, a personalized AI solution for advertising and marketing at an AI joint research institute. In the first half of this year, we plan to apply the research results to IG Works’ data-driven advertising platform, and provide a super personalized advertising solution armed with high-performance AI algorithms.
Using the personalized AI solution AIQ.AWARE Predictive Targeting engine, Skelter Labs designs and advances an AI predictive model that can be used for customer email marketing, push notification promotions, and latligating advertisements. Predictive targeting can significantly improve the accuracy of advertisements targeting consumer groups with high probability of becoming customers by processing text data such as search words, product names, and product descriptions using interactive AI technology that Skelter Labs already possesses. .
Skelter Labs CEO Won-gyu Cho said, “Amid the shifting paradigm of the advertising industry centering on digital and data, the combination of Skelter Labs’ AI technology and IG Works’ data technology is an innovative “We will lead AdTech.”
IG Works CEO Ma Kook-seong said, “Korea’s top-class experts in the field of artificial intelligence, data analysis, and advertising platforms have gathered together.” “Advanced AI technologies such as improving advertiser performance through algorithms and providing hyper-personalized brand experiences. It is expected that there will be a use case of the company.”
Reporter Hyangseon Lee firstname.lastname@example.org
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