MIIT Issues Notice to Boost AI-enabled High-quality Industrial Dataset Development
Recently, the General Office of the Ministry of Industry and Information Technology (MIIT) has released a notice titled "Announcement on Publishing the List of Pilot Consortiums for the Construction of High-quality Industry Datasets Empowered by Artificial Intelligence", according to Securities Daily.
The notice covers multiple pilot consortiums across China dedicated to building high-quality industry datasets empowered by artificial intelligence. It points out that all regions are encouraged to launch local industrial data foundation-building initiatives in light of their actual conditions, promote the construction of high-quality industry datasets in their areas, and explore models and paths for the development and utilization of industrial data, as reported by China Government Network.
Industrial data includes parameters during production, process control instructions, product quality inspection data, and data from enterprise operation management systems, covering the entire life cycle of products and services in the industrial manufacturing field. In recent years, China has further implemented the "Artificial Intelligence +" initiative, taking industrial data as a new production factor to drive AI to fully empower various industries and issuing a number of policies to guide industrial development.
Gao Chengyuan, Chairman and CEO of Yaoyuan Consulting, said in an interview with Securities Daily: "The release of this notice will form a synergy with previous industrial policies and have a systematic positive impact on all levels of the AI terminal industrial chain. On the one hand, upstream chip design enterprises and sensor manufacturers can accelerate the industrialization of key technologies such as in-memory computing integration and low-power reasoning; on the other hand, midstream and downstream manufacturing and application enterprises will benefit from the standardized data circulation mechanism, reducing the threshold for data acquisition and the intensity of R&D investment."
Many listed companies have actively participated in the AI consumer terminal track, seizing the key window period for industrial large-scale development. In terms of specific segments, ArcSoft Technology Co., Ltd. has in-depth layout in the AI glasses business, and its visual algorithms have helped solve core problems such as HDR (High Dynamic Range Imaging), night scene and video anti-shake for AI glasses, bringing users a more natural and intuitive interactive experience, according to China Economic Net.
As a global leading intelligent product ODM enterprise, Huaqin Technology Co., Ltd. has established in-depth cooperation with global leading terminal brand manufacturers, continuously exploring customer needs and achieving in-depth synergy in multiple product categories such as smartphones, tablets and smart wearables. It has also submitted an application for main board listing on the Hong Kong Stock Exchange to strengthen its global layout, reported by Economic Reference Network.
An insider from a relevant institution stated: "Against the background of the market-oriented allocation of data factors, enterprises can rely on high-quality industry datasets to focus on cultivating capabilities such as multi-modal interaction and edge-side reasoning optimization, transforming data advantages into product experience differences."
Sun Yuhao, Senior Partner of Shanghai Haihua Yongtai Law Firm, commented to Securities Daily: "The AI consumer terminal industry is entering a crucial window period for development. In the future, with the continuous maturity of model lightweight technology and heterogeneous computing architecture, the focus of industrial chain value will accelerate to gather towards platform-based enterprises with full-stack technical capabilities, and the industry competition pattern may undergo in-depth restructuring."
