Core Insights - The CEO of Jinglianwen Technology predicts that within the next 3-5 years, China will see the emergence of billion-level data ecosystem companies [1] - The AI data industry is on the brink of explosion, with increasing demand for high-quality, specialized, and scenario-based labeled data [4] Company Overview - Jinglianwen Technology has maintained profitability since its establishment in 2012, attributed to its commitment to R&D, high-quality data sources, and tackling challenging projects [4] - The company has developed three major platforms: a multimodal data collection platform, a comprehensive corpus engineering platform, and an expert collaboration platform across industries [4] Industry Challenges - The industry faces three main challenges: scarcity of high-quality training data, especially in Chinese contexts and specialized fields; a shortage of professionals who understand both AI and vertical industries; and immature industry standards and pricing mechanisms [4] Strategic Initiatives - Starting this year, Jinglianwen Technology plans to gradually open its labeling platform for free and aims to create "China's most open labeling community" [4] - The company has introduced a dual-track data construction method combining "entity collection + virtual generation" and has partnered with several robotics and autonomous driving companies [9] Regional Insights - Guiyang is recognized for its deep understanding of the data industry, potentially positioning it as "China's AI data ecosystem center" due to its early advantages, policy support, and digital infrastructure [9] - Jinglianwen Technology is evaluating the feasibility of developing in Guiyang, aiming to establish a base and collaborate with local universities and enterprises to build a talent pipeline and industry standards [9]