Recently, Huawei signed a strategic cooperation agreement with Hainan Airlines and Fangda Special Steel, both under the Fangda Group of Liaoning. This marks a new phase in their long-term and in-depth cooperation in the aviation and steel sectors. According to the agreement, Huawei will support Fangda Special Steel in its digital transformation and innovative digital applications, particularly in the development and application of AI large models.
According to the plans of both parties, Huawei and Fangda Special Steel will work together to tackle various challenges faced by the steel industry and jointly develop large models specifically for this sector. This collaboration includes not only technical support but also encompasses corporate data governance, information security, and the cultivation of digital talent. Fangda Special Steel expressed its hope that through this cooperation, they can further expand opportunities in the pharmaceutical sector while establishing a long-term partnership in the aviation and steel fields.
Image Source Note: Image generated by AI, image authorized by service provider Midjourney
At the Huawei Developer Conference 2023, Huawei Cloud CEO Zhang Pingan emphasized the practicality of the Pangu large model, noting its target is the B-end market, covering industries such as finance, government affairs, mining, and meteorology, with the steel industry being a significant part. Since 2024, Huawei has been deepening its layout in the steel industry, with collaborations such as that between Hunan Steel Group and Huawei, as well as the hot-rolled natural width prediction model developed with Baosteel, marking significant achievements of Huawei's technology in steel manufacturing.
The cooperation between the two parties will promote the development of data governance in the steel industry and drive the construction of green low-carbon data centers. As the application of large models gradually penetrates the industry, the steel manufacturing sector is actively embracing this trend, seeking to enhance production efficiency and product quality through advanced technologies.
However, it is noteworthy that the current large models still face challenges such as insufficient data and depth of application when being implemented in the industry. Continuous exploration of more application scenarios is needed to closely integrate large models with actual production operations, achieving deeper transformation and upgrades.
