Jiangsu: Promote the introduction of special policies in the field of artificial intelligence and the construction of a number of distinctive "AI+" data annotation industry innovation pilot zones According to a report by Golden Finance on May 12th, it was learned from the Jiangsu Provincial Data Bureau that Jiangsu has identified key areas for the construction of high-quality datasets, accelerating the formation of a batch of benchmark datasets that meet AI readiness requirements, effectively train advanced models, effectively solve industry problems, and have international influence, providing solid support for the innovation and development of artificial intelligence in Jiangsu Province. According to statistics, as of the first quarter of this year, China has built over 116000 high-quality datasets with a total volume of over 960PB. As a data giant province, Jiangsu has formed 521 high-quality datasets with a total scale of over 95PB in key fields such as healthcare, transportation, industry, energy, and cultural tourism. To further overcome the obstacles in the implementation of "artificial intelligence+thousands of industries", Jiangsu will launch a "combination punch" for the construction of high-quality datasets: promote the introduction of special policies in the field of artificial intelligence, clarify industrial development goals, key tasks, and guarantee measures; Support the construction of a number of distinctive "artificial intelligence+" data annotation industry innovation pilot zones tailored to local conditions in prefecture level cities; Fully leverage the roles of the High Quality Dataset Expert Committee and the Data Annotation and Dataset Standards Working Group, and promote pilot trials of high-quality datasets through lineage based approaches; Organize leading enterprises and chain owners to compile a list of data annotation requirements and capabilities around key areas such as intelligent manufacturing, healthcare, connected vehicles, and government services; Actively introduce demand side platform enterprises, collaborate to promote the construction of innovative data annotation factories, and accelerate the cultivation of a group of data annotation leading enterprises, gazelle enterprises, and unicorn enterprises; Regularly organize high-level supply-demand docking activities to promote the adaptation of high-quality resources in the province to local demand; Strengthen the construction of data technology and disciplines, support universities to offer relevant majors, establish industry education integration training bases, and cultivate professional talents such as artificial intelligence trainers on a large scale. (Dongxin Society)