TOKYO, December 27, 2024 – (JCN Newswire) – General Assembly Incorporated Geneative AI Japan, in collaboration with Business, an economic media outlet published and managed by Nikkei BP (NYSE:), today announced the winners of the Japan Geneative AI Award. The 2024 Prize, which honors outstanding examples of generative AI applications, including the Grand Prix and other awards. This award was held for the first time this year, with 139 applications received over the course of approximately a month from early September to early October. A jury of experts in the field of generative AI conducted a careful review, and eight awards were handed out, including the grand prize.
Below are the names of projects, organizations, and an overview of the Grand Prize winner projects, two Special Prize winners, and five Excellence Award winners at the Japan Artificial Intelligence Prize 2024.
One grand prize winner of the 2024 Japan Artificial Intelligence Prize
Nagoya Railway Group Project to Use Generative AI in Three Layers, Nagoya Railway Co., Ltd.
Nagoya Railroad/Meitetsu Group is promoting the use of generative AI as part of Group DX's management agenda, and the Digital Promotion Department is developing tools and providing support for their use, with three levels of use. Depending on the level of use, tools that can be used extensively within the group and which tools can use RAG are published. By strengthening controls and providing support for use, they work to enhance recognition of the effectiveness of generative AI by those responsible for operations and create use cases that directly contribute to service improvement.
Two Special Prize Winners of the 2024 Japan Artificial Intelligence Prize
A hospital management support solution that maximizes human capital, made possible by generative AI, Ubie, Inc.
“Obi medical (TASE:) “Navi Genetic AI” is used in a variety of situations in medical institutions, with an intuitive user interface supporting nearly 20 use cases and flexible quick adjustment. In the case of using discharge summary creation, there was a significant improvement of 42.5% in efficiency and a 27% reduction in psychological burden between groups that used obstetric AI and those that did not (n = 189). Through the appropriate allocation of resources resulting from this efficiency improvement, they aim to support hospital management And ultimately improve medical expenses in Japan.
A community where anyone can get legal advice – AI Legal Advisory Chat Service using Generative AI, Bengo4.com, Inc.
“Chat Legal Consultation” is Japan’s first AI legal advice chat service, which was trained using questions and answers extracted from more than 1.38 million consultation data received by “Legal Consultation for All”, a free legal advice service operated by Bengo4.com. It specializes in gender-related issues, which represent a large proportion of legal consultations, and currently has around 56,000 consultations. This service does not provide legal opinions, nor does it replace the services provided by lawyers.
Five Excellence Award Winners for the 2024 Japan Artificial Intelligence Prize
A new era of business innovation, made possible by Genetic AI, NEC Business Intelligence, Ltd.
NEC Business Intelligence uses generative AI to implement cross-functional reforms in common tasks such as accounting and human resources, which has been a problem for 10 years. They shifted the focus of business efficiency from people to generative AI and redesigned their business processes with generative AI at their core. They provided examples and business impacts of each layer that achieved overall improvement by implementing business reforms in a balanced manner across three layers (user experience, operations, and platform), rather than focusing solely on the impacts of individual measures.
Nearly 10,000 man hours are saved annually in producing promotional emails using AI + RPA created, 7&I HOLDINGS LIMITED (You:)
When sending promotional emails to 7iD's approximately 35 million members, there were two problems: the cost of time and significant expense involved in creating the emails, and the effectiveness of improving open rate (the percentage of emails opened). These problems are solved using AI and RPA. As a result, production time is reduced by approximately 10,000 hours per year, and outsourcing costs are reduced by approximately 84%. Additionally, the open rate of emails improved by approximately 103%.
Building Material Selection Assistant Using “Tile AI”, TileLife Co., Ltd.
This is a website where you can easily search for the tiles you want using a dialog format with AI that specializes in tiles that goes beyond the tile manufacturers. 28 tile manufacturers have already joined (more than 30,000 products), so there is no need to compare multiple catalogues. Designers and architects can significantly reduce the time they spend choosing tiles and focus on their creative work. In the future, through multilingual AI-based support, they aim to provide convenience and enjoyment in choosing tiles in the global tile market, which is more than 300 times the size of the Japanese tile market.
Democratizing Generative AI – Everyone can use generative AI to create a new form of work that will unlock the future, Lion Corporation.
At LION, they had been promoting the use of generative AI from its early stages, with the management team committed, but they faced the problem of increasing needs of each department and development not being able to keep up. Therefore, they have provided a tool that ordinary employees can develop on their own cloud. As a result, many use cases have been created, and AI agents are being created that lead to increased operational efficiency and quality. In the future, they will promote the “democratization of generative AI” and gain competitiveness to realize their management vision.
Developing a unique AI system for schools to enhance educational activities, Kudan High School
Amid the growing demand for digital human resource development using generative AI, they developed the “Otomoto” generative AI system, which is suitable for use in middle and high school education. This system provides an environment where all students can choose and use the LLM model without age or usage restrictions and supports safe and effective learning. Examples of its use include supporting optimal individual learning for students, and it reduces the burden on teachers by simplifying the preparation of teaching materials. This system contributes significantly to improving the quality of education.
Japan Artificial Intelligence Prize 2024 Overview
Judging criteria: problem definition, implementation, impact, governance, future potential.
Jury Chairman: Hiroaki Miyata, Professor, Keio University School of Medicine / Representative Director of the Geneative AI Japan Integrated Assembly
Jury members:
Akiko Murakami, Director of the Japan Institute for Artificial Intelligence Safety
Kan Suzuki is a professor at the University of Tokyo and Keio University
Mizuki Oka, Associate Professor, Department of Systems and Information Engineering, University of Tsukuba/Representative Director, ConnectSphere Inc.
Shigeru Urushibara, Chairman and CEO of UL Systems, Inc.
Akihiko Kono, Executive Officer, Assistant Vice President, Head of IT Division, Panasonic (OTC:) Connect Co., Ltd.
Keisuke Kuniyoshi, General Manager, Data Solutions Division, Benesse Holdings, Inc.
Masahiro Sato, Professor and Assistant President of Digital Hollywood University
Eri Shirai, Executive Officer, Members Co., Ltd. /President of Member's Data Adventure Company
Emi Tamaki, Professor, Faculty of Engineering, University of the Ryukyus / Representative Director of H2L Inc. / Professor, Graduate School of Engineering, University of Tokyo
Joji Noritake, President and Representative Director of Baycurrent Consulting Inc.
Tomio Kikyobara, Fellow, BP Nikkei Research Institute
Toshiyuki Sugiyama, Senior Advisor, Senior Researcher, Nikkei BP Research Institute
Naotaka Owada, Director of ICT Innovation Laboratory, Nikkei BP Research Institute
Takashi Hara, editor-in-chief of Nikkei Business Online
Organized by the Geneative AI Japan Constituent General Assembly
Co-sponsored by Nikkei Business
Supported by the Nikkei BP Research Institute
Supported by: Digital Agency, Ministry of Economy, Trade and Industry, Ministry of Education, Culture, Sports, Science and Technology, Japan Trade Organization (JETRO), Information Technology Promotion Agency, AI Safety Institute, Japan Deep Learning Association.
About Nikki BB
Company name: Nikkei Business Publications, Inc.
Establishment date: April 5, 1969
Representative: Tetsuya Iguchi, President and CEO
Address: 4-3-12 Toranomon, Minato-ku, Tokyo
URL: https://www.nikkeibp.co.jp/
About General Incorporated Association Genetic AI Japan
The Combined General Assembly for Generative Artificial Intelligence of Japan was established in January 2024 with the aim of promoting the use of generative artificial intelligence through cooperation between industry and academics, developing rules and guidelines, making recommendations, etc., and enhancing Japan's industrial competitiveness. The representative director is Professor Hiroaki Miyata from Keio University School of Medicine, and 18 experts from academia and cutting-edge companies have been appointed as directors and advisors, with 70 companies as members. (As of November 2024)
Organization Name: Geneative AI Japan Combined General Assembly
Registration date: January 9, 2024
Acting Director: Hiroaki Miyata
Address: 1-34 Ochiai, Tama City, Tokyo
URL: https://geneativeaijapan.or.jp/
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For inquiries regarding this announcement, please contact the Geneative AI Japan Secretariat (jimukyoku@geneativeaijapan.or.jp)
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