China Agricultural Machinery Institute Holds a Special Lecture on Artificial Intelligence
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China Agricultural Machinery Institute Holds a Special Lecture on Artificial Intelligence

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China Agricultural Machinery Institute Holds a Special Lecture on Artificial Intelligence

On September 5th, China Agricultural Machinery Institute held a special lecture on empowering the industry with digital intelligence, aiming to promote the integration of digital technology and industrial practice, and accelerate the in-depth implementation of digital transformation.

Xie Hai, Chief Information Officer of Chinalco Group, was specially invited to give a live lecture on the topic of "Practice and Reflection on Empowering Physical Industries with Digital Intelligence". He systematically explained the evolution path of the industry from informatization and digitization to intelligence, and combined with Chinalco Group's informatization construction practice, deeply analyzed the driving role of the three core elements of data, algorithms, and computing power in the transformation, providing valuable experience and reference for all cadres and employees of the institute. During the interactive communication session, Xie Hai had in-depth discussions with the trainees on issues related to promoting the application of artificial intelligence in enterprises, and the atmosphere on site was lively.

This training is an important part of our hospital's systematic and systematic development of digital intelligence capabilities. More than 260 members of the leadership team, assistant level leaders, middle-level and above cadres from various departments and affiliated units of the headquarters, "Sail Plan" talents, representatives of China Agricultural Machinery Institute employees, and new employees in 2025 attended the training on site.

China Agricultural Machinery Institute will take this series of training as an opportunity to continuously strengthen the cultivation of digital literacy and application ability of cadres and employees. At the same time, efforts will be made to promote the transformation of learning achievements from theoretical cognition to practical application. In business fields with mature conditions, pilot applications will be launched in a timely manner to explore and steadily promote the digital transformation from point to area, achieving high-quality development.


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