Mr. Huang Jianhua, Chairman of Zhenzhi Technology, was invited to attend the Changjiang Zhihui National People's Congress exchange event

On July 22, 2025, the theme exchange event "Yangtze River Intelligence Meeting with Renmin University of China: Discussing the New Landscape of AI Industry-University-Research Integration" jointly organized by the School of Information of Renmin University of China, the Digital Economics Society of the Cheung Kong Graduate School of Business, and the Beijing Alumni Science and Technology Innovation Committee was successfully held at the Century Hall of Renmin University of China.

The event aims to explore the path of industry-university-research integration, explore the deep connection between university innovations and enterprise needs, and unveil a new paradigm of industry-university-research collaboration for technology companies and talent development. Through engaging sharing and interactive discussions, attendees from academia and the business community delved into the current state, challenges, and future of AI industry-university-research integration, laying a solid foundation for promoting the innovative application of AI technology in more fields and promoting industrial upgrading.

Mr. Huang Jianhua, CTO of Hande Information and Chairman of Zhenzhi Technology, was invited to attend the event. With the theme of "Enterprise-level AI Pain Points and Implementation Path", he deeply analyzed the practical challenges of AI from technological boom to actual implementation.

He pointed out that the current development trend of AI is shifting from computing power-driven to availability-driven, and enterprises are facing the dilemma of the "impossible triangle": high basic capabilities, low deployment costs and high data security, and five core pain points: data dilemma, idle knowledge, disconnection between technology and business, difficulty in adapting general large models to the industry, and difficulty in closing the loop of enterprise AI value. He also proposed three stages for the implementation of enterprise AI: "trial and exploration", "deepening benefits", and "building an ecosystem".

"Companies need to first clarify 'what problem they want to solve' rather than being led by technology." In the competition for enterprise-level AI, only by maintaining "cool thinking" in the "hot concepts" can they seize the initiative in the wave of digitalization, anchor real needs and deeply cultivate technology implementation, and ultimately move towards empowering the industrial chain and driving the intelligent upgrade of the ecosystem.

At the intersection of technological innovation and industrial transformation, the integration of industry, academia, and research is reshaping the innovation ecosystem and will become the core engine for activating future industrial innovation. Zhenzhi Technology has always embraced collaborative innovation with an open attitude and will continue to deepen its collaboration with universities and research institutions. We will explore new paradigms of industry-university-research integration in the field of AI-driven enterprise digitalization, allowing AI technology to truly take root in the industry.

As a representative brand of domestic ITSM, Zhenzhi Technology Yan Qianyun has the advantages of complete independent control, deep local adaptation, and high cost-effectiveness. It fits the actual IT service scenarios of Chinese enterprises, helping enterprise users to significantly improve IT service response and problem-solving efficiency, achieve a significant leap in operation and maintenance efficiency, and empower enterprises' digital transformation.

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