[Held on Tue, April 21] 'Generative AI Transforming Manufacturing: New Production Management and Future Strategies' Seminar
NEC Nexsolutions will hold an online seminar for the manufacturing industry on April 21. It will explain practical methods for solving issues like reliance on individual know-how and data fragmentation by utilizing generative AI while suppressing data preparation costs.
📋 Article Processing Timeline
- 📰 Published: April 9, 2026 at 20:00
- 🔍 Collected: April 9, 2026 at 11:30
- 🤖 AI Analyzed: April 20, 2026 at 12:01 (264h 30m after Collected)
**NEC Nexsolutions will hold the 'Generative AI Transforming Manufacturing: New Production Management and Future Strategies' seminar online on Tuesday, April 21, 2026, from 13:00 to 14:00.**
**An archived stream is also scheduled from Wednesday, April 22, 2026, to Wednesday, March 31, 2027.**
In this modern era where 'change' has become the norm, your company may be facing many challenges, such as supply chain disruptions, soaring raw material costs, a shortage of skilled personnel, as well as delays in decision-making due to reliance on individual know-how and data fragmentation.
On the other hand, while expectations for the use of generative AI are rising, we also hear voices hesitating to adopt it, saying 'we have no training data' or 'it can't be used unless the data is clean.'
**In this seminar, we will explain how to get a small start with low data preparation costs for effective generative AI utilization in the manufacturing industry, and the optimal division of roles between generative AI and specialized systems.**
**We will also introduce our company's next-generation production management system that supports these realizations. We will support your company in solving its challenges and taking a firm step toward the future.**
## ■ What you will gain from this seminar
- **Practical steps for AI adoption and data utilization on the manufacturing floor that deliver results without aiming for perfection.**
- **An approach to utilizing generative AI to break away from dependence on veterans and pass on technology to the next generation.**
- **A mindset for building a foundation and assigning the right roles to systems and AI to maximize investment effectiveness.**
## [Lecture 1] Production Management Transformed by Generative AI
～Overcoming Reliance on Individuals and Data Fragmentation! Practical AI Utilization Techniques～
1. **Breaking away from the long-standing issue of 'reliance on individuals' in production management**
Is the 'intuition' of veterans becoming a black box? We will introduce an approach to realistically advance standardization and skill transfer, which had been stalled, through collaboration between humans and AI, with generative AI as the 'ultimate sparring partner.'
2. **Utilizing Data Relation AI (Escaping the swamp of cleansing and normalization)**
With the reasoning power of generative AI, we rapidly propose optimal linking hypotheses between disparate data. We will explain a concrete method that dramatically reduces data preparation costs and leads to decision-making support with a small start.
3. **Decision-making based on scenarios/options (Optimal placement of AI and systems)**
Have you ever installed an AI tool but couldn't use it well and went back to Excel? We will explain a next-generation decision-making process where generative AI's role is to 'present scenarios,' complex mathematical optimization is left to 'specialized systems,' and humans make the final judgment.
### ■ Speaker ■
**Japan Management Association Consulting Inc.**
**Synchronous Innovation Unit, Unit Head**
**Supply Chain Domain, Director, Keishi Takeda**
**An archived stream is also scheduled from Wednesday, April 22, 2026, to Wednesday, March 31, 2027.**
In this modern era where 'change' has become the norm, your company may be facing many challenges, such as supply chain disruptions, soaring raw material costs, a shortage of skilled personnel, as well as delays in decision-making due to reliance on individual know-how and data fragmentation.
On the other hand, while expectations for the use of generative AI are rising, we also hear voices hesitating to adopt it, saying 'we have no training data' or 'it can't be used unless the data is clean.'
**In this seminar, we will explain how to get a small start with low data preparation costs for effective generative AI utilization in the manufacturing industry, and the optimal division of roles between generative AI and specialized systems.**
**We will also introduce our company's next-generation production management system that supports these realizations. We will support your company in solving its challenges and taking a firm step toward the future.**
## ■ What you will gain from this seminar
- **Practical steps for AI adoption and data utilization on the manufacturing floor that deliver results without aiming for perfection.**
- **An approach to utilizing generative AI to break away from dependence on veterans and pass on technology to the next generation.**
- **A mindset for building a foundation and assigning the right roles to systems and AI to maximize investment effectiveness.**
## [Lecture 1] Production Management Transformed by Generative AI
～Overcoming Reliance on Individuals and Data Fragmentation! Practical AI Utilization Techniques～
1. **Breaking away from the long-standing issue of 'reliance on individuals' in production management**
Is the 'intuition' of veterans becoming a black box? We will introduce an approach to realistically advance standardization and skill transfer, which had been stalled, through collaboration between humans and AI, with generative AI as the 'ultimate sparring partner.'
2. **Utilizing Data Relation AI (Escaping the swamp of cleansing and normalization)**
With the reasoning power of generative AI, we rapidly propose optimal linking hypotheses between disparate data. We will explain a concrete method that dramatically reduces data preparation costs and leads to decision-making support with a small start.
3. **Decision-making based on scenarios/options (Optimal placement of AI and systems)**
Have you ever installed an AI tool but couldn't use it well and went back to Excel? We will explain a next-generation decision-making process where generative AI's role is to 'present scenarios,' complex mathematical optimization is left to 'specialized systems,' and humans make the final judgment.
### ■ Speaker ■
**Japan Management Association Consulting Inc.**
**Synchronous Innovation Unit, Unit Head**
**Supply Chain Domain, Director, Keishi Takeda**