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Free Online Seminar

For management / R&D Manager
Data analyst and scientist

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)

Hitachi High-Tech (Thailand) Ltd.

12th Jun (Wed) 13:30-15:00 (Thai time)
Japanese and Thai Language
(Consecutive interpreting)

Apply
24th-sem-top-image-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.
To develop competitive products and reduce R&D costs,
Hitachi Hi-Tech is sharing the following information that is effective for improving R&D productivity through a series of 4 times seminars
  • ⦿ How to collect necessary data automatically and how to create a database.
  • ⦿ Data analysis methods and algorithms.
  • ⦿ How to use AI and systems.
  • ⦿ Use cases in various industries on how to apply these methods and systems.
25th R&D seminar-ecms

In the second session, we will share details on how to centralize experimental data and use cases for building and effectively utilizing a database, which are important for improving R&D productivity.

Data management-ecms
In addition, we will share detailed information about methods for analyzing data with artificial intelligence (AI) as follows.
– Forward analysis
– Reverse analysis
– Text mining
– Image analysis
For those who are interested, you can register to attend the online seminar free of charge, in order to learn techniques and innovations for using AI and Materials Informatics in research and product development (R&D) comprehensively.
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 Hi-Tech (Thailand) Ltd.
Material Solution Dept
Mr. Thitiwat Chaiwiriya (Senior Manager)

Mr. Thitiwat-ecms

Free Online Seminar

Date

12th Jun (Wed) 13:30-15:00 (Thai time)

Seminar Contents

[Title]
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)

[Contents]
1.The importance of centralizing experimental data in research and development (R&D)
2.How to create a database?
3.Use cases for utilizing a database and improving productivity
4.Methods and algorithms for data analysis
5.Forward and Reverse Analysis methods, text mining methods, and image analysis methods, and how to use them?

*There are possibilities will be change part of contents.

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

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