Sumitomo Chemical Launches In-house Generative AI Service "ChatSCC"

Author photo: Shin Kai
ByShin Kai
Category:
Company and Product News

Sumitomo Chemical has developed an in-house generative AI service “ChatSCC,” which utilizes ChatGPT, and has made it available for all of its approximately 6,500 employees. Through this, the company aims to achieve a dramatic improvement in productivity in the short term, as well as to enhance the competitiveness of its existing businesses and create new business models through Generative AI Servicemore effective use of its proprietary data in the future.

The key feature of ChatSCC is its secure environment that ensures input information will not leak outside of Sumitomo Chemical, enabling the company to handle its proprietary information on the platform. This service can be used not only for general office tasks, such as documentation, proofreading, and program source code generation, but also for analysis of research and manufacturing data and generation of ideas for technology.

During the preliminary verification process, Sumitomo Chemical tested ChatSCC on approximately 200 typical patterns of its business operations and found that it contributed to improving operational efficiency by a maximum of over 50%. After the full-scale rollout of ChatSCC, in order to maximize the benefits of the service, the company has been stepping up efforts to expand the use of ChatSCC by sharing with its employees a collection of frequently used instruction and question prompts, techniques for creating instruction documents that are effective in various business operations scenarios, rules for prohibited actions and precautions to be observed, and training videos for beginners.

Going forward, by linking its proprietary data to ChatSCC, Sumitomo Chemical will establish a scheme to enable more effective use of the knowledge accumulated within its individual organizations. In addition, the company will explore the possibility of implementing specialized AI models developed through additional training on data from specific fields to accelerate its efforts to further improve operational efficiency and create greater added value.

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