17th May (Wed) 13:30-15:00 (Thai time) Thai Language Only
In today’s highly competitive business world, companies are driven to develop new materials with novel functions and appearances. The goals are to address social and environmental issues while meeting market demands appropriately.
Many companies are striving to improvise their research and development (R&D) processes and create new materials that achieve cost targets and shorter production times.
However, current R&D still heavily relies on the individual experiences and skills of researchers. A large number of researchers still depend solely on their personal abilities for R&D work.
Given this situation, over the past few years, many companies have become interested in pursuing “data-driven development” approaches.
By utilizing modern AI and machine learning technologies, it has become easier to identify viable solutions and achieve optimal results with higher accuracy.
For this occasion, we have invited Hitachi High-Tech, the core trading company of the Hitachi Group, to introduce their “Materials Informatics” solution by AI. Unlike traditional experience-based R&D methods.
This approach allows your company to lead in developing new materials by sharing knowledge and greatly reducing development time and necessary operational steps. This materials informatics solution will make your R&D efforts more efficient.
[Contents]
1.What is Materials Informatics?
2.What kind of industry and products can apply this concept?
3.What kind of benefit user can accept?
*There are possibilities will be change part of contents.
[Lecturer]
Hitachi High-Tech (Thailand) Ltd.
Mr. Kota Omobayashi
Dr. Sarinont Thapanut
[Organizer]
Hitachi High-Tech (Thailand) Ltd.
Business: Trading (parts, material), Selling Inspection Machin etc.
https://www.hitachi-hightech.com/th/