大会会场 2月3日，扬州会议中心，AI赋能智创未来——2026扬州(邗江)"人工智能+"创新发展大会在这里举行。活动现场，为5大"人工智能+"赋能平台揭牌，进行 党群服务中心、城市书房+OPC融合创新社区启用仪式，进行OPC社区联盟签约，进行AI赋能企业合作签约。多位专家进行精彩分享，带来工智能行业最 新趋势深度分析，带来数字浪潮中的"实战兵法"。 "今年1月，江苏率先出台'人工智能+'行动方案，扬州第一时间提出建成全省领先的'人工智能+"创新策源地、产业新高地、应用先导区，打造中国最优 OPC创业之城'目标，并配套出台了园区8条、人才10条等各类政策措施，决心之强、力度之大前所未有。作为主城区，邗江不仅肩负使命，更有加快发展 的紧迫和必要。"邗江区委书记张新钢致辞说，组织承办此次人工智能+创新发展大会，旨在加速推进人工智能企业培育集聚、人工智能赋能千行百业的 进程。会场内不仅有专家高管的精彩分享，也有联盟成立、中心揭牌和项目签约以及150家本土企业莅临；会场外，还有总投资50亿元、占地500亩的数字 经济产业园的加快建设，有近50万方的7个人工智能产业载体的虚位以待，超100万方的科创空间蓄势赋能。希望更多 ...

Core Insights - The "Hanjiaoge" smart service system developed by Jiangsu Information Technology Co., Ltd. has been selected as a demonstration project by the National Bureau of Statistics, marking it as the only project from a prefecture-level city in Jiangsu Province [1][2] Group 1: System Overview - The "Hanjiaoge" system integrates public data resources from various departments, including law enforcement and human resources, to create a service ecosystem for new employment groups such as delivery riders and couriers [1] - The system features ten core modules designed to address the full-cycle needs of workers, including building navigation, employment information, and community services [1][2] Group 2: Operational Efficiency - The system addresses the "finding buildings" issue faced by delivery riders by creating a dedicated electronic map that provides precise navigation at the building level, resulting in an average delivery time reduction of 18% and a decrease in overtime rates by over 30% [2] - The visual delivery module also helps to eliminate communication barriers for hearing-impaired riders [2] Group 3: Future Development - The Yangzhou Data Bureau aims to cultivate and open new application scenarios to enhance productivity and urban development, focusing on areas such as public services, smart manufacturing, and urban governance [2] - The initiative is part of a broader strategy to leverage public data for high-quality economic and social development, aiming to create a "Yangzhou experience" in data-driven growth [2]