Jiangsu Unveils Strategic Roadmap for AI Data Infrastructure

The province has outlined a comprehensive plan to systematically develop high-quality datasets for artificial intelligence. The focus is on creating benchmark data resources that meet international standards, effectively train advanced models, and provide practical solutions for industry-specific challenges, thereby solidifying the foundation for AI innovation.

Building the Data Foundation: Scale and Quality

Amid national progress in dataset construction, Jiangsu, as a major data hub, has amassed significant data assets across several pivotal sectors. These sectors represent core areas of economic and social development, and the accumulated data reserves provide a substantial base for deeper exploitation and application.

Twin Engines: Policy and Industrial Innovation

To address practical barriers in integrating AI technology across industries, Jiangsu is deploying a multi-faceted strategy:

  • Policy Guidance: Forthcoming specialized policies for the AI sector will establish clear development objectives, key tasks, and support measures.
  • Innovation Zones: Cities are encouraged to leverage local industrial strengths to establish distinctive "AI+" data annotation industrial innovation zones, fostering diverse development models.
  • Standardization and Pilots: Leveraging expert committees and working groups, the province will promote standardization and pilot projects for high-quality datasets in a systematic manner.

Targeting Key Sectors and Ecosystem Development

The action plan prioritizes industries with high potential:

  • Core enterprises in industrial chains will be mobilized to define specific data annotation requirements and capabilities.
  • The initiative will attract demand-side platform companies to collaborate on building data annotation innovation factories, accelerating the cultivation of leading data service firms, including high-growth innovative enterprises.
  • High-level supply-demand matchmaking events will be regularly held to precisely align provincial data resources with local industrial needs.

Strengthening the Talent and Academic Base

For long-term sustainability, Jiangsu emphasizes talent development. Efforts will intensify in data science and related disciplines, supporting universities in establishing relevant programs and building industry-education integration training bases. The goal is to cultivate a large pool of professionals, such as AI trainers, to continuously fuel the industry's growth.