对话SGS中国区总裁郝金玉：通过技术创新提升ESG数据可信度

Core Viewpoint - The ESG service sector presents significant business opportunities driven by global ESG policies and standards, while also facing challenges related to data quality and the need for customized solutions [1][4][5]. Group 1: ESG Service Opportunities - The ESG service landscape is expanding from traditional areas to include governance, human rights, and labor practices, leading to increased demand for comprehensive ESG services [4][5]. - SGS has established over 100 branches and 200 laboratories in mainland China, adapting to the growing domestic demand for quality services as the market matures [3][6]. Group 2: Challenges in ESG Implementation - Companies face difficulties in building cross-disciplinary ESG teams, setting unified standards, and executing ESG strategies effectively [6][7]. - The need for accurate data and compliance in ESG reporting poses challenges for service providers, necessitating high-quality data management [5][6]. Group 3: Technological Integration in ESG - AI is being leveraged to enhance the efficiency and quality of ESG services, with a focus on data collection and reporting processes [8][9]. - Companies are advised to collaborate with credible partners in AI to ensure data security and algorithm transparency, avoiding reliance on technology alone [9].