PHILADELPHIA, PENNSYLVANIA / ACCESS Newswire / January 7, 2026 / Datavault AI Inc. (NASDAQ:DVLT) ("Datavault AI" or the "Company"), a leader in data monetization, credentialing, and digital engagement technologies, today announced that its board of directors (the "Datavault Board") has set February 21, 2026 (or such other date as determined by the Datavault Board) as the distribution date for the previously announced dividend of warrants (the "Warrants") to purchase shares of Datavault AI common stock, par ...

科技日报记者 刘园园 袁军解读，《意见》围绕"技术攻关—生态培育—基础支撑"三大关键维度，构建协同发力的培育体 系。其中，技术攻关是创新发展的动力源泉，生态培育是创新落地的"孵化器"，基础支撑是创新持续 的"压舱石"。三大框架相互渗透、有机联动，共同推动数据科技创新与应用体系从"粗放式扶持"向"精 细化培育"转型，确保创新资源精准配置、创新动能持续释放。 多措并举形成"研发—验证—转化"闭环 日前，由国家数据局印发的《关于加强数据科技创新的实施意见》（以下简称《意见》）公布。 "我国数据资源总量庞大、应用场景丰富，但在数据核心技术攻关、创新生态构建、成果转化应用 等方面仍存在短板。"袁军谈道，《意见》针对数据科技创新提出全方位、可操作的实施路径，对破解 要素价值释放瓶颈、加快培育新质生产力、推动数字经济高质量发展意义重大。 国家发展改革委创新驱动发展中心副主任徐彬介绍，《意见》坚持以数据要素市场化配置改革为主 线，以数据科技创新支撑数字中国、数字经济、数字社会高质量发展为根本目标，对当前及未来一段时 期我国数据科技创新的主要方向和重点任务作出系统化部署。 "这标志着我国数据科技创新进入体系化布局、协同化推进的 ...

SAN DIEGO, Jan. 6, 2026 /PRNewswire/ -- Teradata (NYSE: TDC) announced that it has been recognized as a Leader in The Forrester Waveâ"¢: Data Fabric Platforms, Q4 2025, by Noel Yuhanna with Aaron Katz, Agnes Nkansah, Emily Doherty, and Jen Barton, published October 30, 2025. The report evaluated 14 technology providers based on their current offering, strategy, and customer feedback. Evaluation findings: How Agentic AI Is Redefining Data Fabric Data fabric is evolving as organizations scale AI across comple ...

记者注意到，本次发布的案例覆盖精准招商、普惠金融、城市治理、民生保障、乡村振兴等多个领域， 充分展现了各地立足实际、因地制宜，以公共数据赋能产业高质量发展的生动实践。案例中，通过数据 跨界融合、技术创新应用，有效破解了一批行业痛点、民生难点问题，既提升了公共服务效能，又释放 了数据要素价值，为全省各地深化公共数据应用提供了可复制、可推广的宝贵经验。 近日，江苏省数据局组织开展公共数据"跑起来"场景县（市、区）实践案例征集工作。经综合研判，确 定7个场景纳入2025年第6批（总第6批）公共数据"跑起来"县（市、区）实践案例，推动数据资源开发 利用提质增效。 | 序号 | 县(市、区) | 场景名称 | 建设单位名称 | | --- | --- | --- | --- | | 1 | 南京市 | AI赋能产业链图谱的 | 南京龙虎妙语科技有 | | | | 精准招商公共数据应 | | | | 江宁区 | 用场景 | 限公司 | | 2 | 南通 | "金北Ｅ信"助力中 | 启东科芯产业投资发 | | | 启东市 | 小微企业融资提速 | 展有限公司 | | 3 | 连云港市 | 城市排水数据赋能泵 | 连云港云耕 ...

创新代币 Dream Bowl Meme Coin II 将推出 NFL 退役球员健康计划，以纪念全球首场 AI 赋能的代币化碗赛费城, Dec. 30, 2025 (GLOBE NEWSWIRE) -- 数据变现、资格认证和数字互动技术领域的领军企业 Datavault AI（简称“Datavault AI”或“公司”）(NASDAQ: DVLT) 今日宣布两项重大举措。作为将于 2026 年 1 月 11 日在 AT&T 体育场举办的第十四届梦想碗 (Dream Bowl XIV) 的授权合作伙伴及共同赞助商，公司将通过这两项举措增强本届梦想碗比赛的知名度并提升其影响力。 首先，Datavault AI 携手第十四届梦想碗以及 NFL 退役球员健康计划 (NFL Alumni Health)，隆重宣布建立战略合作伙伴关系，共同推动 Dream Bowl Meme Coin II 的发行。 此次合作彰显了双方共同致力于提升球员健康水平、促进运动员身心健康以及为退役职业运动员提供长期关怀的承诺，同时进一步深化了“梦想碗”赛事的使命——在赛场内外为精英大学橄榄球人才的职业生涯发展奠定基础。 两届超级碗冠军得主， ...

Core Insights - The "2025 GDTC Global Data Technology Conference" is held in Beijing from December 17 to 18, focusing on building new data infrastructure for the intelligent era, with discussions on data supply, flow, utilization, and security [1][2] Group 1: Conference Overview - The conference is co-hosted by the Next Generation Internet National Engineering Center and the Macau University of Science and Technology, gathering experts and representatives from various countries to discuss data infrastructure [1][2] - Key topics include data infrastructure construction, intelligent interconnectivity, and data security circulation, with nearly 100 speakers and over 500 professional attendees [1][2] Group 2: Keynote Speeches - Experts emphasize the importance of trustworthy data spaces, privacy computing, and intelligent technology in the evolution of data from static assets to dynamic intelligent ecosystems [4] - The need for market-oriented data allocation through distributed innovation and clear guidelines for public data utilization is highlighted [4] - The integration of network, data, and artificial intelligence is crucial for advancing the intelligent internet [4] Group 3: International Perspectives - The International Data Spaces Association (IDSA) discusses the distributed architecture and interoperability of international data spaces, sharing applications in manufacturing, automotive, and energy sectors [5][6] Group 4: Local Practices and Industry Applications - Beijing's data infrastructure practices are showcased, including public computing service platforms and collaborative networks for data circulation [6] - Industry leaders from Huawei, Digital China, and Inspur share insights on building new data infrastructure and enhancing industry capabilities [6] Group 5: Roundtable Discussions - A roundtable forum addresses trends in network evolution, data interoperability technologies, and the impact of artificial intelligence on data circulation [7] - The conference also features the release of a research report on efficient data resource circulation during the 14th Five-Year Plan period [7]

在此背景下，北京电子数智科技有限责任公司（以下简称"北电数智"）作为北京电控旗下AI原生国有企 业，凭借技术创新与实践突破成为可信数据空间领域的重要力量。 来源：环球网 当前，我国数据要素市场正从"资源积累"向"高效利用"转型，可信数据空间作为破解"数据孤岛""信任 缺失"等行业痛点的新型基础设施，已成为推动数据要素市场化配置的核心载体。国家数据局此前印发 的《可信数据空间发展行动计划（2024—2028年）》明确提出，到2028年将建成100个以上可信数据空 间，形成广泛互联、资源集聚、价值共创的数据生态体系，为行业发展指明了方向。 从技术架构来看，"红湖·可信数据空间"构建了"1个可信底座+2大系统平台+N个行业适配"的全景体系。 其中，可信底座整合动态数据沙箱、弹性数据库、数据价值运营平台等核心组件，支持跨机构数据协作 与全生命周期管理；AI数据流工作台（DataOps）作为"工具链智能组装车间"可实现数据处理流程的可 视化编排与自动化执行；数据价值运营平台则提供合规管理、计量计费、订单跟踪等功能，为数据要素 市场化交易提供支撑。在行业应用层面，该产品已深度渗透医疗、工业、政务、科研、文娱等领域，例 如 ...

Core Insights - The article presents a practical guide developed by Volcano Engine in collaboration with the China Academy of Information and Communications Technology, focusing on the end-to-end process of data intelligence implementation [1] - It breaks down the technical aspects into a core architecture of "data collection - processing - modeling - application," detailing the collaborative logic of modules such as multimodal data fusion and real-time inference engines [1] - The application scenarios cover vertical fields including manufacturing data monitoring, financial risk control, and government data governance, providing standards for scenario adaptation [1] - The implementation path is divided into three phases: "small-scale pilot - medium-scale expansion - large-scale deployment," offering resource allocation and evaluation metrics for enterprises of different sizes [1] - The guide addresses core pain points such as cross-system integration and privacy compliance, providing a standardized framework for data departments and digital transformation leaders [1] Section Summaries Section 1: Cognitive Reconstruction - The section discusses the current state of the industry, highlighting deep-seated challenges beneath the surface of apparent prosperity [3] - It identifies three common misconceptions about the essence of AI and emphasizes a paradigm shift from tool thinking to system thinking [3] Section 2: System Construction - This section defines the concept of data intelligence agents as "enterprise-level data experts" and introduces a six-dimensional capability model [4] - It also presents a maturity model for data intelligence agents, categorizing them into four levels (L1-L4) [4] Section 3: Value Realization - The section categorizes application scenarios and provides in-depth analysis of typical use cases, along with a value assessment system [4] - It outlines strategies for phased implementation and enterprise readiness evaluation [4] Section 4: Industry Outlook - This section discusses technological evolution trends and industry opportunities, including the evolution of industry patterns and key success factors [4] - It also suggests standards for capability maturity assessment and industry development recommendations [4]

Core Insights - The collaboration between Datavault AI and MTB Mining Limited represents a significant step in the modernization of mineral resource verification and entry into global commerce through tokenization [1][3][4] - The partnership aims to redefine the concept of "commodities" by digitizing real-world assets, allowing for verified and traceable digital assets to be traded on the International Elements Exchange [1][4] Company Overview - Datavault AI specializes in data monetization, credential verification, digital interaction, and the digitization of real-world assets, utilizing its proprietary Sumerian® technology [1][5] - The company is positioned at the forefront of Web 3.0 innovations, providing comprehensive solutions across various sectors, including sports, entertainment, biotech, and fintech [5][6] Industry Context - Africa has historically been a core resource provider for modern industrial development, and the partnership will enable the digitalization of over 25 million tons of copper reserves held by MTB [2][3] - The mining sector is crucial for Tanzania's economy, and the digitization of asset records will facilitate new avenues for lending, collateralization, and cross-border trade [3][4] Technological Significance - The transaction is seen as a milestone in terms of technology and transparency, creating compliant and transparent channels for monetizing natural wealth globally [4] - The Sumerian® anchoring technology will provide immutable and verifiable digital signatures for precious gemstones, enhancing their marketability and authenticity [2][4]

Core Insights - Datavault AI has entered a $7 million minting deal and a 30% perpetual royalty partnership with MTB Mining Limited, marking a significant advancement in the digitization of mineral resources [1][3] - The partnership aims to transform rare earth minerals into verified, traceable, digitized assets for trading on the upcoming International Elements Exchange [1][7] - This collaboration represents a blueprint for the evolution of physical assets into digital assets, enhancing transparency and compliance in the marketplace [2][6] Company Overview - Datavault AI specializes in data monetization, credentialing, digital engagement, and real-world asset digitization technologies [1][8] - The company utilizes its patented Sumerian® technology to create immutable digital signatures for assets, ensuring verification and traceability [4][6] - Datavault AI's mission is to build infrastructure for a data-driven economy, focusing on verification and trusted information [6][8] Industry Impact - The partnership with MTB Mining Limited allows for the digital representation of over 25 million metric tons of copper reserves and other valuable minerals, facilitating their entry into the global market [3][5] - Digitally verifiable asset records are expected to modernize Tanzania's economy, enabling lending, collateralization, and cross-border trade [5][6] - The International Elements Exchange will function as a virtual refinery, converting physical assets into digital evidence for trading and monetization [7]