In order to systematically promote the integration and application of artificial intelligence technology in various business fields of the company, fully tap the potential of AI empowerment, and improve work efficiency and innovation level, on October 30, Sinophobe Engineering organized a special exchange meeting on AI technology application. He Jiesha, deputy general manager of Sinopar Engineering, and technical backbones of various business departments attended the meeting.

The meeting specially invited external AI technology experts to systematically introduce the solutions and practical cases of AI technology in the field of medical engineering design around the four key directions of intelligent design assistance system construction, document creation efficiency improvement, quality control system innovation and data value depth mining, which provides a useful reference for the company's application expansion in related fields. In the exchange and discussion session, the technical backbone of each business department combined with the actual work, conducted in-depth discussions with experts on key technical issues such as data processing and intelligent recognition of CAD drawings, and put forward constructive implementation ideas around specific business scenarios.

He Jiesha, deputy general manager of the company, put forward specific requirements on how to use AI technology to empower the core design business. She pointed out that it is necessary to promote top-level design with a forward-looking perspective, focus on building an enterprise-level AI platform, continuously consolidate the foundation of data and algorithms, promote AI technology to achieve large-scale landing and deep integration in business scenarios, and inject intelligent momentum into the digital transformation and high-quality development of enterprises.

This meeting marks a new stage of systematic promotion and full-service empowerment of the National Pharmaceutical Project in the application of AI technology. In the next step, the company will focus on promoting the deep integration of AI technology in key links such as process design and drawing review, and comprehensively improve the design quality and execution efficiency through the construction of intelligent workflow, so as to build a solid foundation for the large-scale application of subsequent AI technology in the field of pharmaceutical engineering and help the industry to upgrade intelligently.

(Headquarters Digital Development Department contribution)