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The traditional research and development of the chemical industry has always been experimental trial and error as the main research and development mode, product optimization and upgrading greatly depends on the experience of individual R & D personnel, the utilization rate of historical data is very low, so the long product research and development cycle, serious homogenization competition, overcapacity is very common. How to achieve the breakthrough innovation at the research and development end, accelerate the process of product research and development, quickly occupy a new market highland, and get rid of the industry volume is a problem that many enterprises have been thinking about. This seminar will focus on the new opportunities brought by data and AI technology to the chemical industry in the era of big data, and how enterprises can take advantage of this once-in-a-century opportunity to quickly realize the reform and innovation of R & D model. At the same time, the keynote speaker will also share the practical experience and landing plan of some domestic head chemical enterprises in the direction of intelligent research and development.
Speakers
Hua Feng
创腾 |CTO
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CTO He was graduated from the University of Science and Technology of China, majoring in Chemical physics, and appointed as Vice General Manager of NEOTRIDENT TECHNOLOGY LTD.. With nearly 20 years of experience in information solutions in the field of materials and life sciences, he has presided over and completed the national 863 Program and other research work.