Distinguished Professor Mao Jiye Delivers Academic Lecture on "AI Applications in Enterprise Management"
On the morning of October 28, Distinguished Professor Mao Jiye was invited to the Business College to deliver a cutting-edge academic lecture titled "AI Applications in Enterprise Management" for faculty and students. The lecture was hosted by Dean Jiang Jingjing, with Vice Dean Guo Yanli, some faculty members, and all 2025 graduate students in attendance.
During the lecture, Professor Mao vividly analyzed the implementation paths and outcomes of AI in scenarios such as recruitment Job Description generation, contract review, predictive analysis, and organizational reform, drawing on enterprise cases like Semir Corporate and Ever Sunshine Services. He emphasized that digital transformation is not merely a technological upgrade but also a cognitive revolution and a reshaping of organizational capabilities, particularly requiring "digital-intelligent leadership from top management" and "an innovation atmosphere with full participation." He pointed out that future enterprises will inevitably be data-driven, fully AI-integrated organizations where every employee should possess data analysis and application development capabilities. The core competitiveness of enterprises will also depend on high-quality data governance, agile organizational structures, and sustained, in-depth digital transformation practices.
Professor Mao's lecture opened new perspectives for faculty and students on the integration of AI and enterprise management and provided important inspiration for graduate training and research direction alignment. He encouraged students to actively embrace technological change and become interdisciplinary talents who "understand both business and data."
The lecture concluded successfully amid warm applause. Faculty and students unanimously agreed that this lecture not only deepened their understanding of AI and digital transformation but also inspired confidence and motivation to explore an intelligent future in academic research and enterprise practice.
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