Navigating Digital Transformation in the Era of Generative AI: A Seminar for Engineers

Seminar Overview

In a rapidly evolving technological landscape, the integration of generative AI into business processes has become crucial for engineers and technical professionals. Join us for an enlightening seminar titled "How to Begin Digital Transformation for Engineers Amidst Rapid Advancements in Generative AI", organized by CMC Research. This event will take place on September 8, 2025 from 10:30 AM to 4:30 PM (JST) via Zoom.

The discussion will be led by Dr. Ikko Kurachi, President of Kenshu Co., Ltd., who will delve into the essence of Digital Transformation (DX) and its practical application in the field of engineering. With the successful adoption of large language models such as ChatGPT, the call for skilled technicians to implement AI technologies has never been more pressing. This seminar aims to provide clear strategies and insights that will empower engineers to overcome challenges related to DX in their respective organizations.

What You Will Learn

Participants will gain valuable knowledge through this seminar:
1. Essence of DX and Practical Implementation Strategies
2. Transformational Impact of Generative AI on Business Operations
3. Data Utilization and Automation with Python
4. Problem-Solving Approaches Through Object-Oriented Programming
5. Understanding the Distinction and Connection between Science and Technology

Target Audience

This seminar is ideal for:

- CEOs and managers in technical organizations
- Engineers involved in technical operations
- Recently hired engineering professionals
- Personnel responsible for technical project planning
- Researchers who guide students in university settings

Seminar Details

- Date: September 8, 2025
- Time: 10:30 AM - 4:30 PM
- Fee: 55,000 yen (tax included), with discounted rates for mailing list subscribers and academia.
- Speaker: Dr. Ikko Kurachi, President of Kenshu Co., Ltd.

Registration: Enrollment can be completed through the CMC Research seminar page, where further details and a registration form are available.

Why Attend?

The seminar will serve as a platform for engineers who have yet to implement DX into their business processes or are looking for solutions to advance their ongoing initiatives. Dr. Kurachi's expertise aims to highlight practical methods to incorporate DX effectively, fostering a proactive approach in engineering workplaces.

Additionally, the seminar will include a Q&A session, enabling participants to engage directly with the speaker and deepen their understanding of the topics discussed. Don't miss this opportunity to navigate the complexities of generative AI and digital transformation in your field!

Note: This event will be conducted via Zoom. We request participants to refrain from recording or capturing images during the session.

Program Highlights

1. Introduction to Business Innovation through Computing
- Evolution from computing tools to automated processes
- Data science applications in various sectors
- Bridging the gap from the third AI boom to societal implementation
- Utilizing Excel combined with Python for enhanced productivity
- Understanding the pathways of Digital Transformation (DX)

2. Science and Technology
- Clarifying trans-science concepts
- Differentiating between science and non-science domains
- Approaches to scientific methods and technology development

3. Generative AI and Programming Languages
- A historical perspective on programming languages
- Algorithms and their role in data handling
- The shift towards object-oriented programming in large-scale projects
- Data-driven methodologies in programming practices

4. A Comprehensive Overview of Python
- Python syntax and effective learning strategies
- Programming applications of Python in AI
- Automating data processing with Python
- Utilizing Python in data science implementations
- Exploring Taguchi methods using Python

5. Problem Solving Through Object-Oriented Programming
- Problem-solving as a daily task in engineering
- Effective methods for addressing technical problems
- Generating creative ideas (algorithms) with data
- Object-oriented approaches to problem resolution.

6. Conclusion and Future Directions

Join us to pave the way for a transformative journey in your engineering career by harnessing the capabilities of generative AI and embracing new digital practices.