"Intelligent Technology and Industry Research Practice" course, organized by the Innovation and Entrepreneurship College of Peking University and supported by Frost & Sullivan and LeadLeo Research Institute, was successfully completed on July 10.Professor Li Bo, Deputy Director of the Social Science Department at Peking University, Deputy Dean of the Artificial Intelligence Research Institute, and Associate Professor in the School of Economics, was the instructor for this course. Additionally, Dean Liu Deying of the Innovation and Entrepreneurship College of Peking University participated in the course guidance and teaching. Teacher Liu Caoxi from the Peking University Science and Technology Association attended the event. Mr. Wang Chenhui, Managing Partner and President of Frost & Sullivan China and Co-Founder and President of LeadLeo, Mr. You Haokun, Education Director and Chief Analyst of LeadLeo, Ms. Fu Xueyan, Senior Consultant at Frost & Sullivan, and Ms. Guo Xinxin, Consultant at Frost & Sullivan, served as the main speakers for this course.
This course, as a cross-disciplinary practical elective focusing on core industry research capabilities and the deep integration of artificial intelligence technology, centered around industry research methodology. It proposed and systematically explained the concept of research engineering, advocating for standard, data, workflow, AI, and quality governance to drive industry research. The course combined standardized industry research frameworks with core consulting methods and AI-driven research innovation, helping students master a complete research process from information collection, data organization, industry analysis, idea extraction, to result presentation. It aimed to cultivate composite talents with industry insights, business analysis skills, and AI practical abilities, attracting many students to participate.
On the afternoon of July 7, the course opening ceremony was successfully held. Dean Liu Deying delivered an opening speech. He shared his experiences in the course development of the Innovation and Entrepreneurship College of Peking University. He mentioned that in recent years, the university has thoroughly implemented General Secretary Xi Jinping's important guidelines on education, comprehensively promoted innovation and entrepreneurship education reform, and widely introduced external expert resources to enhance teaching effectiveness, achieving significant progress in talent cultivation model innovation and practical education system construction. He also systematically introduced Peking University's "three-stage empowerment" innovation and entrepreneurship education model, showcasing a series of competitions, practical activities, and incubation platform achievements of the Innovation and Entrepreneurship College, encouraging students to be innovative and practice boldly. The college will provide rich resources and support for young students to realize their ideals on the broad stage of innovation and entrepreneurship.
Subsequently, Mr. Wang Chenhui, Managing Partner and President of Frost & Sullivan China and Co-Founder and President of LeadLeo, discussed the theme of human-machine collaboration and organizational management in the AI era. From the perspective of AI management, he explained how organizational forms are reconfigured in the new era, how human-machine relationships are positioned, and how industry research capabilities play a connecting role in linking knowledge, industry, and decision-making within the new organizational paradigm. He pointed out that learning industry research is crucial for entrepreneurs to identify suitable tracks, plan their careers, and find the right direction in life. Meanwhile, AI technology is driving profound changes in organizational operations, knowledge collaboration mechanisms, and management decision-making processes, requiring us to rethink and build a personal AI worldview. He emphasized that in the AI era, reliable research ability means not simply accepting answers generated by AI, but being able to break down model outputs into verifiable facts, explainable views, and accountable judgments, forming a decomposable, verifiable, collaborative, and updatable judgment production system.
During the official course on July 7, Mr. You Haokun first systematically introduced the overall framework of research engineering to students, helping them establish an overall understanding of engineering methods in industry research. Then, using practical cases, he analyzed how intelligent technology empowers research engineering and the opportunities and challenges of research engineering in the AI era, emphasizing the need to make research more scientific and consulting industries more standardized. By managing knowledge, structuring data, and building research engineering theory systems, a credible research ecosystem was created.
On July 8, Mr. You Haokun discussed the hierarchical relationship between industry, sector, and enterprises, as well as the research boundaries. Based on specific white papers, prospectuses, and other industry research cases, he explained core methods such as defining research tasks, designing report frameworks, and forming facts-viewpoints, helping students understand the core issues in industry research and planning the research path.
The courses on July 9 and July 10 were jointly taught by Ms. Fu Xueyan and Ms. Guo Xinxin.
On July 9, the two teachers systematically introduced the basic methods of secondary information retrieval and primary information acquisition and verification. Through explanations of the source pyramid of secondary information, common data acquisition channels, interview outlines for primary information, and methods of information recording and viewpoint verification, they helped students identify the applicable scenarios and credibility of different data sources and initially master information collection and verification methods for industry research. In the course practice session, the teachers introduced domestic platforms supporting Skill and Agent development, and further based on the Coze platform, they explained the construction and application of Skills used in industry research, and released corresponding practice tasks, encouraging and guiding students to use AI tools to assist in breaking down industry research problems.
On July 10, the teachers first systematically explained the 8-D industry research analysis framework, helping students form a complete research logic through dimensions such as industry definition, market size, industrial chain, and competitive landscape. On this basis, the course shared and analyzed case studies of research reports, further showing how to use the research framework to organize information, conduct analysis, extract viewpoints, and form research results, helping students deepen their understanding of industry research methodology and its practical applications.
Finally, the course learning session concluded successfully. For those who actively participated in the course and completed the assignments, the Innovation and Entrepreneurship College of Peking University, Frost & Sullivan, and LeadLeo Research Institute jointly issued a completion certificate. In addition, the evaluation team considered the classroom participation and the quality of course assignments, and awarded certificates of advanced digital industry research practice talents to outstanding students.
