Notice of Inauguration of Mr. Masashi Sugiyama as Technical Advisor

January 09, 2018

We are pleased to inform you that Masashi Sugiyama has officially been appointed as Technical Advisor at our company.

Mr. Sugiyama has served as the director of RIKEN's Center for Advanced Intelligence Project (AIP), one of the largest AI research bases in Japan, and the first Asian program chair at the AI-related international conference "NIPS." As a researcher in the field of machine learning, he has received high acclaim both in Japan and overseas. With Mr. Sugiyama, we will utilize his wide range of knowledge from basic research to application in the field of machine learning to further strengthen our in-house research and development system and improve our technology level in order to realize innovative real estate services. We will strive to

GA technologies utilizes AI and data in various aspects of the real estate business, such as decision-making support when purchasing real estate, improving the quality and efficiency of property Purchasing operations, and marketing prospective purchasers. We are working to enhance real estate services with high user convenience, forcusing on the use of AI and data in real estate business, such as launching the AI Strategy Office in April of last year, the first in the real estate industry,

Comment from Masashi Sugiyama

In the real estate field, the introduction of AI systems has the potential to dramatically improve business efficiency and user convenience, and we are looking forward to the development of real estate tech services. Also, from an academic point of view, the real estate tech field is promising as a place to demonstrate cutting-edge AI technology, and is attracting much attention.

◆Profile
GA technologies Technical Advisor Mr. Masashi Sugiyama
Born in Osaka in 1974.
Director, Center for Innovative Intelligence Research, RIKEN.
Professor, Department of Complex Science and Engineering, Graduate School of Frontier Sciences, University of Tokyo.
Books: "Machine learning learned from illustrations: Focusing on discriminative model learning by the least squares method" (Kodansha), "Probability and statistics for machine learning (Machine learning professional series)" (Kodansha), etc.

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