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Free Online Seminar

For management / R&D Manager
Data analyst and scientist

Overview of recent R&D issue in Thailand and important point to improve productivity

～Compare AI data analysis tool
and sharing each system feature～

Hitachi High-Tech (Thailand) Ltd.

24th Apr (Wed) 13:30-15:00 (Thai time)
Japanese and Thai Language
(Consecutive interpreting)

Apply
R&D-ecms

Do you have any of the following issues in R&D process of product material?

  • Want to improve the productivity of R&D and related departments and automate processes.
  • Want to shorten the lead time for new product development and reduce costs.
  • Want to efficiently gather literature information and experimental data, and unify internal data.
  • Want to learn techniques and algorithms for analyzing experimental data.
  • Want to utilize AI and related systems in the development of new materials and products.
  • Want to know examples of how AI and related systems are being used in each industry.
Recently, market demands are changing more quickly compared to the past. Companies are required to increase the number of new materials and products and develop them with shorter lead times.

However, the field of R&D still largely relies on the experience and intuition of seasoned researchers, and is conducted through labor-intensive processes.
R&D-ecms
Under these circumstances, many companies have focused on “data-driven development” in recent years.

The key point is to use AI and various systems to efficiently collect literature and market data, and to centrally manage experimental data.

It is crucial to use various analytical methods to predict the optimal combinations that match market and customer demands, and to automatically gather and accumulate necessary information.
ai-ecms

This time, Hitachi High-Tech which is main trading company of Hitachi Group will introduce “Materials Informatics” solution by AI.

Hitachi company will share the follows at 4 times seminars that are effective for improving R&D productivity

  • ⦿ How to collect necessary data automatically and how to make database.
  • ⦿ Data analysis methods and algorithms.
  • ⦿ How to use AI and systems.
  • ⦿ Use case of each industries how to apply these method and system.
R&D-ecms

4 times seminar theme

Seminar No. 1
[Seminar topic]
Overview of recent R&D issue in Thai and important point to improve productivity
～Compare AI data analysis tool and sharing each system feature～
[Date-Time]
24th Apr (Wed) | 13:30-15:00 PM
More details
Seminar No. 2
[Seminar topic]
The importance of centralizing experimental data in R&D
Data analysis methods and utilization methods after DB construction (forward analysis, reverse analysis, text mining, image analysis)
[Date-Time]
12th Jun (Wed) | 13:30-15:00 PM
More details
Seminar No. 3
[Seminar topic]
Features of experiment data analysis tools and how to utilize AI and methods (Compilation of the 1-2 seminars)
[Date-Time]
17th Jul (Wed) | 13:30-15:00 PM
More details
Seminar No. 4
[Seminar topic]
R&D use case, experiment data analysis using by AI
(Chemical, Plastic, Metal Material Industries, Catalyst, Semiconductor, Pharmaceutical Industries)
[Date-Time]
21st Aug (Wed) | 13:30-15:00 PM
More details

*The date and theme are subject to change.

What kind of industies can apply?

Materials Informatics-ecms
Materials Informatics-ecms
Materials Informatics-ecms
Materials Informatics-ecms
Materials Informatics-ecms
Materials Informatics-ecms

Lecturer

Omobayashi-speaker-Hitachi-ecms
Hitachi High-Tech Corporation
Mr. Kota Omobayashi (Engineer)

Designed and developed application for R&D solution at Hitachi, Ltd.
From 2021, supporting to improve R&D process of customers as data scientist included overseas companies.

Hitachi High-Tech (Thailand) Ltd.
Material Solution Dept
Mr. Thitiwat Chaiwiriya (Senior Manager)
Mr. Thitiwat-ecms
Suphansa-Phunsin-Hitachi
Hitachi High-Tech Service (Thailand) Co., Ltd.
Business Development Dept.
Marketing Team
Ms. Suphansa Phunsin

Free Online Seminar

Date

24th Apr (Wed) 13:30-15:00 (Thai time)

Seminar Contents

[Title]
Overview of recent R&D issue in Thailand and important point to improve productivity
～Compare AI data analysis tool and sharing each system feature～

[Contents]
1.The recent situation and issues of R&D in Thailand.
2.Key points to improve R&D productivity.
3.A comparison of the features of experiment data analysis tools utilizing AI.

*There are possibilities will be change part of contents.

[Lecturer]
Hitachi High-Tech (Thailand) Ltd.
Mr. Kota Omobayashi (Engineer)
Mr. Thitiwat Chaiwiriya (Senior Manager)
Ms. Suphansa Phunsin (Marketing Team)

Seminar

Online Seminar by Zoom

Language

Japanese and Thai Language (Consecutive interpreting)

Fee

Free

Application

Please apply follow link
Application Deadline

1 day before of seminar

How to join Seminar
Organizer will send zoom URL before 1-2 days before seminar by e-mail
Privilege
After the seminar, attendees who register a questionnaire can get the following privileges.
– 30 min consultation for improving R&D process.
– Free trial of Hitachi Material Informatics (Experiment data analysis system).
– Onsite lecture and workshop at your company (required join over 10 persons at least)
Others
* The case of competitors, there are possibilities cannot accept to join this seminar.
*Company and person information of this seminar’s attendee will be shared between organizer and related companies.
Apply

Company Information

[Organizer]
Hitachi High-Tech (Thailand) Ltd.
Business: Trading (parts, material), Selling Inspection Machin etc.
https://www.hitachi-hightech.com/th/

[Seminar Operation ]
ECMS LTD.
Business: Consulting, ECO Solution Business, IT Solution Business
https://ecms.co.th/
TEL: +66-(0)91-575-3673