IBM x Emuni to Host Free Online Seminar on the Potential and Risk Management of Generative AI in Manufacturing (Friday, May 15)
Emuni Inc. and IBM Japan will co-host a free webinar on May 15, 2026, discussing the practical implementation, skill transfer, and risk management of Generative AI in the manufacturing sector.
📋 Article Processing Timeline
- 📰 Published: April 23, 2026 at 20:00
- 🔍 Collected: April 23, 2026 at 11:31
- 🤖 AI Analyzed: April 23, 2026 at 13:39 (2h 8m after Collected)
On Friday, May 15, 2026, Emuni Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director & CEO: Yuta Shimono; hereinafter 'Emuni') will host a free online seminar titled 'Formalizing Tacit Knowledge: The Potential and Risk Management of Generative AI in Manufacturing,' inviting Mr. Tsuyoshi Hirayama from IBM Japan, Ltd. (Headquarters: Minato-ku, Tokyo; President and Representative Director: Akio Yamaguchi; hereinafter 'IBM Japan') as a guest speaker.
The utilization of Generative AI in the manufacturing industry is moving beyond the experimental phase and transitioning into the implementation and operational phase on the factory floor. On the other hand, many companies face challenges such as 'where to start' and 'how to continue utilizing it,' requiring a design that looks ahead to not just introduction, but also establishment and operation.
In this webinar, welcoming IBM Japan as a guest, we will explain the potential of utilizing Generative AI in the manufacturing industry and concepts for on-site implementation and continuous operation.
IBM Japan will introduce examples of AI utilization in factory automation, quality control, supply chain, and sustainability areas, as well as ecosystem strategies and risk management for embedded AI and physical AI. Emuni will introduce implementation examples of eliminating personal dependency and skill transfer utilizing LLMs, along with design philosophies and implementation know-how for continuously utilizing Generative AI on the manufacturing floor.
Through the expertise of both companies, we will share specific examples of where to start manufacturing DX, how to balance company-wide optimization with on-site optimization, and what changes AI agents and governance will bring to the future of the manufacturing industry.
■ Overview
- Date & Time: Friday, May 15, 2026, 12:00 - 13:00
- Application Deadline: Friday, May 15, 2026, 11:00
- Application Details: https://webinar.emuniinc.jp/emuni-vol014-seminar?_gl=1*m69dpz*_gcl_au*MzU2ODY2ODYxLjE3NzYyOTkwODA.
- Implementation Method: Online (Zoom Webinar)
- Participation Fee: Free
- Target Audience:
- DX / AI promotion personnel and managers in manufacturing
- Personnel and managers in Information Systems and Data Infrastructure departments
- Management level on the manufacturing floor, such as Technical Department Heads and Factory Managers
- Organizer: Emuni Inc.
■ Recommended for those who:
- Want to know specific examples of AI utilization and on-site implementation know-how in areas like factory automation and quality control.
- Want to know methods for skill transfer and eliminating personal dependency through digitizing tacit knowledge.
- Want to know continuous operation methods for Generative AI and risk countermeasures in its introduction and utilization.
■ Program (Online Seminar Timetable)
[12:00 - 12:05] Opening Remarks
Facilitator: Kazuma Monzen (Marketing Engineer, Emuni Inc.)
Content: Introduction of speakers, explanation of webinar flow, information on Q&A, recording, etc.
[12:05 - 12:20] Evolution of Generative AI and the Potential of the AI Market for Manufacturing
Speaker: Mr. Tsuyoshi Hirayama (Ecosystem Technical Leadership, Technology Business, IBM Japan, Ltd.)
Summary: Alongside AI R&D, IBM Japan is deploying AI solutions in critical manufacturing areas such as factory automation, quality control, supply chain, and sustainability. In this webinar, in addition to IBM's latest AI solutions, he will introduce rich AI implementation cases accumulated in the manufacturing industry, and explain ecosystem strategies for embedded AI and physical AI, as well as new possibilities and risk countermeasures for Japanese manufacturing through collaboration with startups.
[12:20 - 12:35] Generative AI Implementation and Operational Requirements for the Manufacturing Industry
Speaker: Yuta Shimono (Representative Director & CEO, Emuni Inc.)
Summary: Through contract development utilizing LLMs, Emuni has supported the elimination of personal dependency in the manufacturing industry. Specifically, they provide solutions that support skill transfer by organizing and making the experiences and know-how of experts available as data. In this webinar, based on achievements with major manufacturers such as patent translation LLMs and AI interviewers, he will specifically explain how Generative AI has been utilized for eliminating personal dependency and transferring skills on the manufacturing floor.
[12:35 - 13:00] Cross Talk
Speakers: Shimono x Mr. Hirayama
Themes:
- Which department should be tackled first in manufacturing DX?
- How to balance company-wide optimization and on-site optimization.
- The future of manufacturing transformed by AI agents and governance.
Join the webinar for free
■ Speaker Profiles (Titles omitted)
Tsuyoshi Hirayama | Ecosystem Technical Leadership, Technology Business, IBM Japan, Ltd.
Graduated from the Faculty of Science and Technology, Tokyo University of Science; Keio University Graduate School of Business Administration
The utilization of Generative AI in the manufacturing industry is moving beyond the experimental phase and transitioning into the implementation and operational phase on the factory floor. On the other hand, many companies face challenges such as 'where to start' and 'how to continue utilizing it,' requiring a design that looks ahead to not just introduction, but also establishment and operation.
In this webinar, welcoming IBM Japan as a guest, we will explain the potential of utilizing Generative AI in the manufacturing industry and concepts for on-site implementation and continuous operation.
IBM Japan will introduce examples of AI utilization in factory automation, quality control, supply chain, and sustainability areas, as well as ecosystem strategies and risk management for embedded AI and physical AI. Emuni will introduce implementation examples of eliminating personal dependency and skill transfer utilizing LLMs, along with design philosophies and implementation know-how for continuously utilizing Generative AI on the manufacturing floor.
Through the expertise of both companies, we will share specific examples of where to start manufacturing DX, how to balance company-wide optimization with on-site optimization, and what changes AI agents and governance will bring to the future of the manufacturing industry.
■ Overview
- Date & Time: Friday, May 15, 2026, 12:00 - 13:00
- Application Deadline: Friday, May 15, 2026, 11:00
- Application Details: https://webinar.emuniinc.jp/emuni-vol014-seminar?_gl=1*m69dpz*_gcl_au*MzU2ODY2ODYxLjE3NzYyOTkwODA.
- Implementation Method: Online (Zoom Webinar)
- Participation Fee: Free
- Target Audience:
- DX / AI promotion personnel and managers in manufacturing
- Personnel and managers in Information Systems and Data Infrastructure departments
- Management level on the manufacturing floor, such as Technical Department Heads and Factory Managers
- Organizer: Emuni Inc.
■ Recommended for those who:
- Want to know specific examples of AI utilization and on-site implementation know-how in areas like factory automation and quality control.
- Want to know methods for skill transfer and eliminating personal dependency through digitizing tacit knowledge.
- Want to know continuous operation methods for Generative AI and risk countermeasures in its introduction and utilization.
■ Program (Online Seminar Timetable)
[12:00 - 12:05] Opening Remarks
Facilitator: Kazuma Monzen (Marketing Engineer, Emuni Inc.)
Content: Introduction of speakers, explanation of webinar flow, information on Q&A, recording, etc.
[12:05 - 12:20] Evolution of Generative AI and the Potential of the AI Market for Manufacturing
Speaker: Mr. Tsuyoshi Hirayama (Ecosystem Technical Leadership, Technology Business, IBM Japan, Ltd.)
Summary: Alongside AI R&D, IBM Japan is deploying AI solutions in critical manufacturing areas such as factory automation, quality control, supply chain, and sustainability. In this webinar, in addition to IBM's latest AI solutions, he will introduce rich AI implementation cases accumulated in the manufacturing industry, and explain ecosystem strategies for embedded AI and physical AI, as well as new possibilities and risk countermeasures for Japanese manufacturing through collaboration with startups.
[12:20 - 12:35] Generative AI Implementation and Operational Requirements for the Manufacturing Industry
Speaker: Yuta Shimono (Representative Director & CEO, Emuni Inc.)
Summary: Through contract development utilizing LLMs, Emuni has supported the elimination of personal dependency in the manufacturing industry. Specifically, they provide solutions that support skill transfer by organizing and making the experiences and know-how of experts available as data. In this webinar, based on achievements with major manufacturers such as patent translation LLMs and AI interviewers, he will specifically explain how Generative AI has been utilized for eliminating personal dependency and transferring skills on the manufacturing floor.
[12:35 - 13:00] Cross Talk
Speakers: Shimono x Mr. Hirayama
Themes:
- Which department should be tackled first in manufacturing DX?
- How to balance company-wide optimization and on-site optimization.
- The future of manufacturing transformed by AI agents and governance.
Join the webinar for free
■ Speaker Profiles (Titles omitted)
Tsuyoshi Hirayama | Ecosystem Technical Leadership, Technology Business, IBM Japan, Ltd.
Graduated from the Faculty of Science and Technology, Tokyo University of Science; Keio University Graduate School of Business Administration