[Seminar Report] Learn AI Talent Development in Manufacturing from Real-World Examples in 90 Minutes: AI Skill Development Seminar for the Manufacturing Industry
NABLAS Corporation held an "AI Skill Development Seminar for the Manufacturing Industry" on March 17, 2026, sharing insights into the importance and practical tips for AI talent development in manufacturing. Amidst the rise of generative AI, the necessity of practical AI education that can be applied on-site was emphasized, as AI utilization directly impacts corporate competitiveness.
📋 Article Processing Timeline
- 📰 Published: April 28, 2026 at 19:00
- 🔍 Collected: April 28, 2026 at 10:31
- 🤖 AI Analyzed: April 28, 2026 at 14:29 (3h 57m after Collected)
NABLAS Corporation (Headquarters: Hongo, Bunkyo-ku, Tokyo; Representative Director and President: Kotaro Nakayama; hereinafter "the Company"), operating as a comprehensive AI research institute, held the "AI Skill Development Seminar for the Manufacturing Industry: Learn AI Talent Development in Manufacturing from Real-World Examples in 90 Minutes" on March 17, 2026, as part of its iLect AI talent development service, which aims to solve real-world problems.
With the advent of generative AI, AI utilization has become a crucial theme that affects the on-site capabilities and competitiveness of many companies, not just a few advanced ones. In the manufacturing industry, where securing AI talent is urgent, practical education that can be applied on-site, beyond just understanding AI technology, has become indispensable.
This seminar was held with the aim of sharing hints for promoting AI talent development in manufacturing from two perspectives:
NABLAS Corporation, which supports AI talent development
Young employees who actually attended AI courses (Somic Transformation Co., Ltd.)
And to create an opportunity for each company to concretely start AI talent development.
[Event Overview]
Organizer: Hamanako International Brain Center Co., Ltd.
Co-organizer: NABLAS Corporation
Cooperation: Somic Management Holdings Co., Ltd.
Content
(1) Young Employees Talk About Attending AI Courses and Applying Them to Work (Mr. Takumi Yasuda / Somic Transformation Co., Ltd.)
(2) Key Points of AI Education in Manufacturing from the Perspective of a Support Provider (Ms. Mafuyu Sano / NABLAS Corporation)
(3) AI Education Initiatives and Course Introduction in the Hamamatsu Region (Mr. Naoki Mera / Hamanako International Brain Center Co., Ltd.)
(4) Cross-talk: How to Succeed in AI Education in Manufacturing (Somic Transformation Co., Ltd. × NABLAS Corporation)
(1) Young Employees Talk About Attending AI Courses and Applying Them to Work (Mr. Takumi Yasuda / Somic Transformation Co., Ltd.)
Course Experience:
Attended the video-based course "DS4Me_iLectAcademy" and learned Python fundamentals (NumPy, Pandas, etc.) to machine learning at his own pace. Clearly grasped the advantages and disadvantages of various learning models.
Application to Work:
Visualized log data from the robot arm of an appearance inspection machine, achieving a reduction in operation cycle time. Also challenged image processing (binarization and product image cropping) using OpenCV, leveraging generative AI.
Practical AI Utilization:
When using generative AI for coding, he doesn't just give instructions but inputs self-conceived prompts, asking for multiple proposals including specific implementation details. He selects the optimal one based on ease of implementation and PC load, utilizing AI not as a shortcut but as a "tool to extend his own capabilities."
(2) Key Points of AI Education in Manufacturing from the Perspective of a Support Provider (Ms. Mafuyu Sano / NABLAS Corporation)
Three parallel steps to successful AI implementation:
Personalization:
Create an environment where generative AI is easy to introduce, fostering a mindset of trying it out first.
Evangelist Development:
Cultivate promoters who spontaneously utilize AI and spread its use to others, and reform management to affirm and warmly support their activities.
Data Infrastructure Development:
Organize manufacturing-specific data, such as handwritten daily reports, into a state where AI can learn from it (a painstaking process that proceeds hand-in-hand with education).
NABLAS Corporation supports development on both fronts through "AI Literacy Courses" for management and "Practical AI Courses" for on-site personnel.
(3) AI Education Initiatives and Course Introduction in the Hamamatsu Region (Mr. Naoki Mera / Hamanako International Brain Center Co., Ltd.)
Current Situation in the Region:
While it is a cluster of manufacturing industries with high technical capabilities and on-site strength, challenges include labor shortages and over-reliance on specific individuals.
Steps for AI Utilization:
AI is transforming from a specialist's technology to a tool used by the entire company. Instead of aiming for immediate practical application, it is important to objectively assess the company's situation and proceed step-by-step, starting with literacy education.
Course Development:
Courses are planned and held for a wide range of employees, not limited to engineers, but also including administrative and management departments.
Conclusion:
AI is a means for companies to survive, and "how to nurture talent that can use AI" is a crucial key for the future, even more so than its introduction.
(4) Cross-talk: How to Succeed in AI Education in Manufacturing
During the cross-talk, opinions were exchanged on how to concretely utilize AI tools and succeed in AI talent education in manufacturing, including questions from participants. (Excerpts from cross-talk below)
(Mr. Mera) Among the various companies you support, what is the difference between companies where AI education permeates and those where it does not?
(Ms. Sano) I believe the biggest difference is "culture." If there is a culture of "let's actively use it," a willingness to challenge arises, and negative feelings diminish when challenges are not denied.
With the advent of generative AI, AI utilization has become a crucial theme that affects the on-site capabilities and competitiveness of many companies, not just a few advanced ones. In the manufacturing industry, where securing AI talent is urgent, practical education that can be applied on-site, beyond just understanding AI technology, has become indispensable.
This seminar was held with the aim of sharing hints for promoting AI talent development in manufacturing from two perspectives:
NABLAS Corporation, which supports AI talent development
Young employees who actually attended AI courses (Somic Transformation Co., Ltd.)
And to create an opportunity for each company to concretely start AI talent development.
[Event Overview]
Organizer: Hamanako International Brain Center Co., Ltd.
Co-organizer: NABLAS Corporation
Cooperation: Somic Management Holdings Co., Ltd.
Content
(1) Young Employees Talk About Attending AI Courses and Applying Them to Work (Mr. Takumi Yasuda / Somic Transformation Co., Ltd.)
(2) Key Points of AI Education in Manufacturing from the Perspective of a Support Provider (Ms. Mafuyu Sano / NABLAS Corporation)
(3) AI Education Initiatives and Course Introduction in the Hamamatsu Region (Mr. Naoki Mera / Hamanako International Brain Center Co., Ltd.)
(4) Cross-talk: How to Succeed in AI Education in Manufacturing (Somic Transformation Co., Ltd. × NABLAS Corporation)
(1) Young Employees Talk About Attending AI Courses and Applying Them to Work (Mr. Takumi Yasuda / Somic Transformation Co., Ltd.)
Course Experience:
Attended the video-based course "DS4Me_iLectAcademy" and learned Python fundamentals (NumPy, Pandas, etc.) to machine learning at his own pace. Clearly grasped the advantages and disadvantages of various learning models.
Application to Work:
Visualized log data from the robot arm of an appearance inspection machine, achieving a reduction in operation cycle time. Also challenged image processing (binarization and product image cropping) using OpenCV, leveraging generative AI.
Practical AI Utilization:
When using generative AI for coding, he doesn't just give instructions but inputs self-conceived prompts, asking for multiple proposals including specific implementation details. He selects the optimal one based on ease of implementation and PC load, utilizing AI not as a shortcut but as a "tool to extend his own capabilities."
(2) Key Points of AI Education in Manufacturing from the Perspective of a Support Provider (Ms. Mafuyu Sano / NABLAS Corporation)
Three parallel steps to successful AI implementation:
Personalization:
Create an environment where generative AI is easy to introduce, fostering a mindset of trying it out first.
Evangelist Development:
Cultivate promoters who spontaneously utilize AI and spread its use to others, and reform management to affirm and warmly support their activities.
Data Infrastructure Development:
Organize manufacturing-specific data, such as handwritten daily reports, into a state where AI can learn from it (a painstaking process that proceeds hand-in-hand with education).
NABLAS Corporation supports development on both fronts through "AI Literacy Courses" for management and "Practical AI Courses" for on-site personnel.
(3) AI Education Initiatives and Course Introduction in the Hamamatsu Region (Mr. Naoki Mera / Hamanako International Brain Center Co., Ltd.)
Current Situation in the Region:
While it is a cluster of manufacturing industries with high technical capabilities and on-site strength, challenges include labor shortages and over-reliance on specific individuals.
Steps for AI Utilization:
AI is transforming from a specialist's technology to a tool used by the entire company. Instead of aiming for immediate practical application, it is important to objectively assess the company's situation and proceed step-by-step, starting with literacy education.
Course Development:
Courses are planned and held for a wide range of employees, not limited to engineers, but also including administrative and management departments.
Conclusion:
AI is a means for companies to survive, and "how to nurture talent that can use AI" is a crucial key for the future, even more so than its introduction.
(4) Cross-talk: How to Succeed in AI Education in Manufacturing
During the cross-talk, opinions were exchanged on how to concretely utilize AI tools and succeed in AI talent education in manufacturing, including questions from participants. (Excerpts from cross-talk below)
(Mr. Mera) Among the various companies you support, what is the difference between companies where AI education permeates and those where it does not?
(Ms. Sano) I believe the biggest difference is "culture." If there is a culture of "let's actively use it," a willingness to challenge arises, and negative feelings diminish when challenges are not denied.