China News Service, Beijing, October 25 (Zhang Su, Pan Shuyan) Since the launch of the 2026 “Data Elements
Recently, with the theme of "Data Empowerment, Multiplying Up", the main forum of the 2026 New Smart City Development and Innovation Conference and the 2026 "Data Elements ×" Competition National Finals Award Ceremony were held. 330 final evaluation projects won first, second and third prizes.
The "In-depth Insight Report on the 2026 "Data Elements ×" Competition" released at the meeting showed that the scale of this competition has reached a new high, the data circulation and utilization system has accelerated the closed loop, the data market ecology has continued to be active, the application of data element scenarios has achieved new breakthroughs, the flywheel effect of mutual promotion of artificial intelligence and high-quality data sets has accelerated, and the data empowered industry has achieved significant results in cost reduction and efficiency, industrial chain ecological construction, and economic and social development.
Some analysts believe that through this competition, we can observe the logic of value release of data elements and changes in industrial development. For example, moving from single-point applications to process intelligence, data elements enter the "deep participation in production" stage.
"The real multiplier effect comes from the deep collaboration of data, intelligence and industrial scenarios. The data element should not be a high-level code, it should be a warm talisman." Li Ning, chief scientist of Xiaoyi Technology, said when sharing his feelings about winning the award.
This year's competition added a human resources track for the first time, and the "time-sharing employment full life cycle data element operation platform based on multi-agent collaboration" project won the first prize in the national finals of this track. Dr. Li Ning introduced that focusing on time-sharing employment in catering, retail and other industries, in response to the structural contradiction of "no one available at peaks and redundant manpower at valleys", the R&D team built a digital operation system covering the entire process of "recruitment, employment, insurance, service and salary".
The time-sharing employment data element operation platform is based on real business data such as talents, time-sharing tasks, performance records, and credit, and combines a large time-sharing employment management model with multi-agent collaboration to serve labor demand forecasting, active talent access, intelligent matching, dynamic configuration, and contract performance management, making data a production factor that participates in judgment, assists decision-making, and promotes business execution.
According to statistics, the platform has served more than 12,000 corporate entities, covering more than 100 cities across the country, and the annual service hours exceed 45 million hours. In some application scenarios, enterprise recruitment efficiency has been improved by about 80%, shift scheduling efficiency has been improved by about 60%, and labor costs have been reduced by about 20%-30%.
"Data elements empower new productive forces, which will ultimately lead to improved industrial efficiency, enhanced innovation capabilities and optimized resource allocation, as well as better serving employment and improving people's livelihood." Yu Wenyong, founder and chairman of Xiaoyi Technology, said in an interview.
As a landmark event to implement the "Data Elements ×" Three-Year Action Plan (2024-2026), the "Data Elements ×" competition has been held for three years. The scale of the event has continued to expand, the participating teams have grown year by year, and the release of the value of data elements has continued to strengthen.
Bai Yang, a senior researcher at the People's Data Research Institute, wrote an article pointing out that as the three-year campaign comes to an end, the marketization of data elements is undergoing a "shifting speed", shifting from data aggregation to data governance, from single-point applications to process-level intelligence, and from technological exploration to institutionalized trusted circulation.
Bai Yang believes that the practical experience of this competition’s 330 final evaluation projects, covering 17 tracks, provides a verifiable frame of reference for the next stage of policy design and industry promotion. The market-oriented allocation of data elements is moving from “usable” to “easy to use” and from “pilot” to “scale”. (over)
