Core Insights - The article introduces a "Digital R&D System" aimed at addressing common pain points in the R&D process, such as lengthy development cycles and communication inefficiencies [3][7][16] - The system is designed to enhance collaboration across departments and streamline the transition from market needs to product design [4][6][10] Digital Transformation in R&D Management - The "Digital Brain" concept is introduced, which integrates marketing, R&D, and collaboration to create a seamless workflow [4][5][6] - It aims to solve five major issues: shortening R&D cycles, eliminating design version confusion, breaking down departmental silos, managing change impacts, and improving standardization [7] Empowering the Manufacturing Process - The introduction of the "AI Expert" system, which automates repetitive tasks and enhances efficiency in the manufacturing process [8][10] - The AI system can reduce design verification time by over 50% and improve review efficiency by 80% [9][11] Practical Applications and Benefits - Specific scenarios illustrate the system's impact, such as automated design checks that halve inspection time and AI-generated work instructions that enhance accuracy and efficiency [14][15] - The overall value proposition includes significant reductions in product development time, early detection of design issues, and the liberation of talent for innovation [16] Future Outlook - The article emphasizes the potential of the "Digital R&D System" to serve as a foundational element for innovation in manufacturing, advocating for a shift away from inefficient practices [16]