数字人才培养再迎新举措。12月2日，据国家发展改革委官网消息，国家发展改革委、国家数据局、教 育部等五大部门发布《关于加强数据要素学科专业建设和数字人才队伍建设的意见》（以下简称《意 见》），提出12项举措。在业内看来，当前，数字人才培养呈现学科交叉融合加速、实践导向更突出和 区域特色化发展三大新的趋势。《意见》通过学科专业、职业教育、学术研究、产学研用四方面打通人 才培养全链条、构建多元共治的人才培养生态，为数字领域发展提供全方位、全周期的人才支撑，进一 步推动数字经济高质量发展。 鼓励因地制宜建院校设专业 数据要素学科专业建设和数字人才队伍建设，是统筹推进数字中国、数字经济、数字社会规划和建设的 重要基础。此次《意见》发布旨在加强数据要素学科专业建设和数字人才队伍建设，建立数据领域科技 发展、国家战略需求牵引的学科专业设置调整机制和人才培养模式，激活数据要素赋能新质生产力的创 新引擎作用，促进数据领域教育链、人才链与产业链、创新链融合发展。 在健全数据要素学科专业方面，《意见》提出，优化学科专业设置，包括教育部门与数据管理部门加强 数据要素相关学科专业建设，支持有条件的学位授予单位建设数据科学与工程、数字 ...

Core Viewpoint - The issuance of the "Opinions" by five government departments marks a significant step towards addressing the shortage of digital talent in China, aiming for systematic, professional, and high-quality development in this area [8]. Group 1: Optimization of Academic and Professional Layout - The "Opinions" propose three approaches to optimize the academic structure: improving subject settings, building a tiered and categorized system, and strengthening teaching elements to systematically construct disciplines related to data [3]. Group 2: Promoting Deep Integration of Industry, Academia, and Research - The "Opinions" emphasize the use of application scenarios as a vehicle to promote deep integration among industry, academia, and research, thereby maximizing the value of talent cultivation [5]. Group 3: Deepening Industry-Education Integration and Vocational Education Reform - The "Opinions" focus on building an ecosystem for industry-education integration, reforming education and teaching, and developing course resources to address the disconnect between learning and application, thus bridging the final gap in talent development [6][15]. Group 4: Supporting Higher Education Institutions - The "Opinions" support comprehensive universities in establishing digital colleges and integrating relevant academic resources, as well as encouraging specialized institutions to enhance their programs in data technology, data analysis, and digital arts [11]. Group 5: Development of Micro Majors - The "Opinions" advocate for universities to offer "micro majors" that meet the urgent knowledge and skill requirements of the data industry, such as digital trade and digital media arts, fostering a collaborative innovation system led by enterprises [13]. Group 6: Addressing the Skills Gap in Vocational Education - The "Opinions" encourage vocational colleges to add data-related programs to address the skills gap, focusing on areas like data collection, cleaning, annotation, and operation, in response to market demands [16]. Group 7: Building a Comprehensive Ecosystem - The "Opinions" propose a complete ecosystem integrating academic disciplines, vocational education, academic research, and industry-academia-research collaboration, aiming to resolve the disconnect between learning and application through a three-integration mechanism [18].

Core Viewpoint - The document outlines the "Opinions on Strengthening the Construction of Data Element Disciplines and Digital Talent Teams," aiming to enhance the development of data-related academic disciplines and the cultivation of digital talent, aligning with national strategic needs and technological advancements [1][2]. Group 1: Key Measures - The document proposes 12 key measures across four main areas to strengthen data disciplines and digital talent development [1]. - First, it emphasizes optimizing academic discipline settings and supporting tiered and categorized construction to enhance core teaching elements [1]. - Second, it focuses on promoting vocational education in the data industry by creating an integrated ecosystem of industry and education, reforming educational practices, and enriching curriculum resources [1]. - Third, it aims to support organized research in the data field by enhancing research organization, accelerating key research directions, and solidifying the scientific data foundation [1]. - Fourth, it encourages collaboration among academia, industry, and application scenarios to build typical application cases, innovate collaborative training models, and create technology innovation platforms [1]. Group 2: Implementation and Coordination - The document mandates the National Data Bureau, in collaboration with relevant ministries, to strengthen the organization and promotion of data discipline and digital talent development, establishing a regular working contact mechanism [2]. - It calls for coordinated efforts from various departments to create a conducive environment for the collaborative training of digital talent, with the National Data Bureau responsible for monitoring implementation effects and summarizing best practices [2]. - Local departments are urged to organize and implement policies effectively based on their specific circumstances to ensure the measures are realized [2].

12月2日，京东正式宣布其数字人直播服务向所有商家免费开放。 根据官方信息，商家只需登录京麦服务市场，搜索"京东官方数字人"并完成订阅流程，即可获得专属AI 主播。该服务支持7×24小时不间断直播，并集成多项AI能力，包括近300款可选形象、200余种风格化 音色、自动生成直播脚本、实时互动应答及内容自动切片分发等功能。 此外，京东表示将向使用数字人直播的商家开放部分公域流量资源，以提升曝光与转化效率。 值得注意的是，此次免费开放的是"全量功能"，意味着中小商家无需额外付费即可享受此前仅限头部品 牌使用的高阶能力。 据京东披露，目前已有超4.5万家品牌接入该服务，数字人直播成本约为真人直播的1/10，平均转化率 提升约30%。在2025年"双11"期间，采用数字人直播的商家数量同比增长近6倍，全年累计带动商品交 易总额（GMV）达数百亿元。 在应用场景方面，京东针对不同规模商家提供差异化方案。 中小商家可利用数字人实现全天候开播与自动化内容生产；面向有定制需求的品牌，京东支持生成高定 数字人主播，打造品牌高定秀场等多主题直播间，还支持双人直播、换装直播、实景直播、多语种直 播；面向总裁与名人，数字人能突破时间 ...

Core Viewpoint - The document outlines a comprehensive strategy to strengthen data-related academic disciplines and digital talent development in China, emphasizing the importance of aligning educational programs with industry needs and national strategic goals [1][3][4]. Group 1: Academic Discipline Development - Educational departments and data management agencies will collaborate to enhance data-related academic programs, supporting institutions in establishing degrees in data science, digital economy, and management [4][5]. - A talent cultivation mechanism will be established to ensure seamless transitions between undergraduate, master's, and doctoral programs in data-related fields [4][5]. - Vocational schools will be encouraged to adjust their data-related programs dynamically based on industry needs, including new courses in data collection, cleaning, compliance, and operations [4][5]. Group 2: Industry-Oriented Vocational Education - A system for data industry vocational education will be developed, integrating government oversight, industry guidance, and enterprise participation [6][7]. - The establishment of a national data vocational education teaching advisory committee is proposed to enhance the quality of education [6]. - Collaboration between data companies and vocational schools will be encouraged to create practical training bases and improve the quality of teaching [7]. Group 3: Research and Academic Collaboration - The document emphasizes the need for building academic communities and fostering a digital talent pipeline in the data field [8][9]. - It calls for the establishment of high-level academic journals and platforms for data research to facilitate the dissemination of knowledge and innovations [8]. - Research will focus on critical issues such as data marketization, property rights, and the application of emerging technologies like AI and blockchain [8][9]. Group 4: Application and Innovation - The creation of typical application scenarios is encouraged to promote collaboration between academia and industry, enhancing the practical training of digital talent [10][11]. - Innovative collaborative training models will be supported, with a focus on developing core courses and practical projects in data-related fields [10][11]. - The establishment of technology innovation platforms is proposed to foster interdisciplinary research and the development of cutting-edge technologies in the data sector [11][12]. Group 5: Implementation and Monitoring - A mechanism for ongoing collaboration among government, industry, and academia will be established to ensure effective implementation of the proposed strategies [12]. - The National Data Bureau will monitor the effectiveness of these initiatives and promote successful case studies [12].

Core Viewpoint - JD.com has officially announced the free availability of its digital human live streaming service to all merchants, allowing them to subscribe for a dedicated AI host [1] Group 1 - JD.com has made its digital human live streaming service accessible to all merchants [1] - Merchants can find the "JD Official Digital Human" in the Jingmai service market and follow the instructions to subscribe [1] - This initiative aims to enhance the online shopping experience by providing personalized AI hosts for merchants [1]

而有家公司的老板曾宣称要在2025 年为全球提供 1 亿个 "硅基劳动力"（数字人），这家公司就是位于南京、由司马华鹏创立的"硅基智能"。 虽然如今8万数字人的规模远不及1亿的目标，但硅基智能最近已向港交所递交了招股书，拟在香港主板上市；若此次能顺利上市，其将成为港股"数字人 第一股"。 如今，"数字人"正在全面进入人类的生活。 无论日常刷到的电商主播、接打电话的客服，甚至线上教学的老师，都有数字人的身影。 作为国内最早布局数字人领域的企业之一，硅基智能的业务已经覆盖智能语音、数字人视频、直播、智能交互及全自动内容生产五项业务，公司营收也随 着数字人热潮一路上涨。 成立于2017年的硅基智能，据介绍为目前国内市场份额第一的数字人智能体提供商，累计为电信、金融等行业提供了超8万个"硅基劳动力"。 招股书显示，在经历三年亏损后，硅基智能今年上半年实现扭亏为盈，营收3.26亿元。 2017年，CEO司马华鹏在南京成立硅基智能，四个月内拿到首轮融资。 此后，公司融资节奏稳定，腾讯投资、红杉中国等知名机构相继入局。 今年，硅基智能完成D轮融资，估值已达31.5亿元。 2023年，数字人直播走红；2024年，AI复活逝者 ...

如今，" 数字人 " 正在全面进入人类的生活。无论日常刷到的电商主播、接打电话的客服，甚至线上教学的老师，都有数字人的身影。 " 数字人 " 的概念最早被大众瞩目，源于 2021 年 " 元宇宙 " 的热潮。进入 2022 年后，冬奥会数字主播上线、《流浪地球 2》的热映，引爆了对数 字人的关注；恰逢此时，大模型的 NLP（自然语言理解）能力短板被补上，数字人市场开始迅速增长。 " 艾瑞咨询 " 数据显示，2023 年中国数字人市场规模已突破 100 亿元，预计 2025 年达到 300 亿元，年复合增长率超过 50%。 作为国内最早布局数字人领域的企业之一，硅基智能的业务已经覆盖智能语音、数字人视频、直播、智能交互及全自动内容生产五项业务，公司 营收也随着数字人热潮一路上涨。 2023 年至 2025 上半年，硅基智能总营收分别为 5.3 亿元、6.3 亿元和 3.3 亿元，分别同比增长 137.8%、18.9% 和 12.6%。硅基智能在招股书中提 到，其 2024 年在中国数字人智能体行业市场份额为 32.2%，位居第一，在全球数字人智能体供应商中位列第二。 而有家公司的老板曾宣称要在 2025 年为全 ...

全景网浙江投资者教育基地秉承"沟通创造价值"宗旨，以投资者关系互动为核心，聚焦金融信息资讯服 务，通过融媒体的方式，积极探索"互联网+投教"模式，以"线上+线下"相结合的方式，让投资者教育服 务触手可及。 投教小课堂 金融消费者享有在购买金融产品和接受金融服务过程中，人身及合法财产获得相关安全保障的权利。银 行保险机构应当严格区分公募和私募资产管理产品，严格审核投资者资质，不得组织、诱导多个消费者 采取归集资金的方式满足购买私募资产管理产品的条件。资产管理产品管理人应当强化受托管理责任， 诚信、谨慎履行管理义务等。 ...

格隆汇12月1日｜有投资者在互动平台向倍轻松提问：倍轻松目前接入了阿里巴巴集团的AI大模型了 吗？倍轻松回复称，公司将AI智能化作为产品研发的核心方向之一。此前已联合阿里云、百度等企 业，落地过See5k系列、数字人项目等智能化成果。 ...