The National Data Administration of China announced the importance of increasing clear data sets available for the development of artificial intelligence. According to other data, over 126 thousand high-quality data networks have already been created in the country, which totals 1815 petabytes (PB).

Large-scale growth of data for piece intelligence.

This data was presented at the 2026 China International Big Data Industry Expo, which will be held at Guiyang.. The senior representative of the National Data Administration noted that the large number of high-quality data networks is the key basis for the development of artificial intelligence in the country.

High-quality data networks are defined as a collection of data that has undergone processing, including collection and transformation, and can be used directly for the development and training of models of artificial intelligence. The effectiveness of such data networks is expected to significantly improve the productivity of models.

Coming to the heart of the streaming rock, the number of high-quality data networks exceeded 126 thousand. This demonstrates an astonishing growth – over 89% is equal to the indicators of the end of the first quarter of this year.

Systematic approach to data management.

The national data management system, launched in China, has already stored publications on 1,700 data networks. Here's a look at the recent developments in increasing obligations and decreasing data availability in China.

The Big Data Expo also presented the “Data Market” for the first time. On this platform, 95 companies that work with the data presented 253 of their latest products. The purpose of this innovation is to achieve more precise interaction between data providers and their stakeholders, thereby stimulating innovation and effective data recovery.

Increasing the number and complexity of available data networks is a critically important timeline for accelerating the discovery and development of human intelligence.. This allows for the creation of stronger and more accurate models, which, in turn, opens up new possibilities for the application of information in various fields - from medicine and finance to autonomous transport and scientific research..

The growing number of data in 1815 PB also reinforces the trend toward the accumulation of great data, which is the necessary brainpower for training current models of deep learning.. It is important that the emphasis is placed on high-quality data networks, so that awareness of the need is not limited, as well as the relevance and accuracy of the data to achieve the best results from.

Dzherelo: https://www. ithome. com/0/995/893. htmIn China there are already over 126 thousand data networks for ШІ read on the HiTech website. Expert.