("FUTR†or the "Company†), a consumer-centric platform for data valuation and monetization, is pleased to announce that it has closed $4.3 million of its previously announced $5.1 million non-brokered private placement. An additional tranche of $1.7 million will be closed on Friday, September 23rd bringing the total private placement amount to 20 million Units at $0.30 per Unit for aggregate proceeds of $6 million. Power. TORONTO--(BUSINESS WIRE)--The FUTR Corporation (TSXV: FTRC) (OTCQB: FTRCF) ...

Group 1 - Hewlett Packard Enterprise Company (NYSE:HPE) has been one of the best performing stocks in the S&P 500 over the last three months, with third-quarter revenue exceeding Wall Street expectations due to strong demand in networking and server divisions [1] - The rise of Generative AI has significantly increased the demand for HPE's AI-optimized servers, which are designed to handle complex applications and utilize Nvidia processors [1] - The acquisition of Juniper has bolstered HPE's networking division, which generally experiences faster growth compared to traditional hardware [2] Group 2 - HPE has reached an agreement with activist investor Elliott Investment Management, which holds over $1.5 billion in shares, and has appointed Robert Calderoni, a seasoned tech executive, to its board [2] - The company provides a range of data services globally through various divisions, including Corporate Investments, Compute, HPC & AI, Storage, Intelligent Edge, and Financial Services [3] - HPE also offers software-defined infrastructure (SDI) solutions aimed at assisting businesses with software development, automation, network management, and storage [3]

Summary of Tempus AI FY Conference Call (September 08, 2025) Company Overview - **Company**: Tempus AI (NasdaqGS:TEM) - **Industry**: Genomics and Data Analytics in Healthcare Key Points Financial Performance - **Q2 Growth**: - Genomics business experienced a growth acceleration from 20% year-over-year in Q1 to 26% in Q2 [2] - Genomics revenue exceeded 30% growth due to reimbursement tailwinds [2] - Adjusted EBITDA improved by approximately $10 million quarter-over-quarter, with expectations to achieve positive adjusted EBITDA in 2025 [2] Business Expansion and Strategy - **Revenue Milestone**: Company is approaching $1.3 billion in revenue, with both main business segments growing at around 30% [3] - **Acquisition of Amri**: - Expected to enhance growth rates, particularly in rare diseases and pediatrics [5] - Q2 growth for Amri was over 30%, with half attributed to market share gains [14] - **Portfolio Expansion**: Focus on expanding beyond oncology into areas like rare diseases, with expectations of positive reimbursement trends [5] Market Dynamics - **Oncology Landscape**: - There are nearly 15,000 oncologists in the U.S., indicating a significant market for holistic solutions [4] - The company believes that the largest players in minimal residual disease (MRD) will also dominate treatment selection [4] - **Reimbursement Trends**: - Positive trends in securing commercial payer reimbursement, although the landscape remains fragmented [9] - MRD tests currently lack reimbursement, with expectations for improvement by the end of the year [10] Data Infrastructure and Technology - **Data Investments**: - Tempus has invested heavily in building a robust technology stack, employing around 700 software engineers [18] - The company has developed proprietary tools to make healthcare data actionable for clients [19] - **Foundation Model**: - A significant project involving over 350 petabytes of data and 1,800 GPUs aimed at generating insights for oncology [28] - The model is expected to enhance the personalization and contextualization of tests, improving clinical decision-making [29] AI and Healthcare - **AI Integration**: - The company is a leader in applying AI to diagnostics, with several FDA-approved algorithms [37] - There is a recognized need for reimbursement mechanisms for AI-driven solutions in healthcare [36] - **Future Outlook**: - AI is anticipated to have a transformative impact on healthcare, with significant potential for cost savings and improved outcomes [61] Challenges and Considerations - **Market Competition**: - The company faces competition in securing reimbursement and market share, particularly in the MRD space [10] - **Long-term Growth**: - While current growth rates are strong, the sustainability of share gains from competitors is uncertain [14] Additional Insights - **Client Engagement**: - The company has established long-term contracts with major pharmaceutical clients, indicating strong demand for its data services [33] - **Product Differentiation**: - Tempus aims to differentiate its genomic tests through integrated data insights, enhancing the value proposition for physicians [27] This summary encapsulates the key insights and developments discussed during the Tempus AI FY Conference Call, highlighting the company's growth trajectory, strategic initiatives, and the evolving landscape of genomics and data analytics in healthcare.

Core Insights - The National Bureau of Statistics announced the second batch of pilot projects for national data infrastructure construction and high-quality data set development at the 2025 China International Big Data Industry Expo [1] - Inner Mongolia successfully included five projects in the national data infrastructure construction, marking a significant achievement in this area [1] Group 1: Data Infrastructure Projects - The "Prairie Cloud Corridor, Mongolian Domain Data Circulation Regional Hub" from the Ordos Municipal Government was selected as a pilot project for national data infrastructure construction [1] - The "Three Norths" ecological seed source high-quality data set from Mongcao Ecological Environment Group and the high-quality data set for the cashmere industry based on comprehensive data collection from Ordos Cashmere Group were included in the national industry high-quality data set pilot projects [1] - The "Crop Budding and Seedling High-Quality Data Set" from Inner Mongolia Octopus Intelligent Technology Co., Ltd. was recognized as a typical case of high-quality data set [1] - The "North Xinjiang Data Hub: Exploring New Paths for Data Infrastructure Construction in Central and Western Regions" from Inner Mongolia Big Data Industry Development Group Co., Ltd. was selected as a typical case for national data infrastructure construction [1] Group 2: Government Initiatives - The Inner Mongolia Government Service and Data Management Bureau aims to leverage pilot projects to stimulate data factor vitality through institutional innovation, ensure data circulation and sharing through infrastructure construction, and promote data infrastructure development through technological empowerment [1]

Group 1 - The core viewpoint of the article highlights the successful transaction of an "Agricultural Aquaculture Meteorological Service Data Product" between Jiangsu Crab Internet Technology Co., Ltd. and Nanjing Fengxin Technology Development Co., Ltd., which aims to enhance the traditional crab farming industry through data-driven insights [1][3] - The data product allows users to input geographical coordinates to access critical meteorological data such as temperature, humidity, pressure, water temperature, and dissolved oxygen, which are essential for making informed production decisions in crab farming [1][3] - The collaboration between the two companies represents a deep integration of data elements with traditional industries, showcasing the potential of public data to empower the real economy [3] Group 2 - Nanjing Fengxin, as a professional meteorological data service provider, has successfully transformed public meteorological data into practical industry solutions, while Jiangsu Crab Internet focuses on providing intelligent farming solutions through IoT and big data technologies [3] - The transaction process was facilitated by the Jiangsu Provincial Data Exchange, which played a crucial role in ensuring compliance and efficiency in the data product's circulation, including product registration, transaction matching, and fund settlement [3] - The successful implementation of the meteorological data product in crab farming is seen as a significant achievement in Jiangsu's data element market, validating innovative concepts such as "data is usable but invisible" and demonstrating the immense potential of data to enhance the real economy [3]

Summary of the Conference Call for Haitai Ruisheng Company Overview - **Company**: Haitai Ruisheng - **Industry**: AI Data Services Key Points Business Growth Drivers - Haitai Ruisheng's domestic business growth is driven by increased AI R&D investments from state-owned enterprises, particularly benefiting from its positioning within the China Mobile system, with significant revenue expected in the first half of 2025 [2][5] - The company reported a revenue of 157 million yuan in the first half of 2025, marking a year-on-year increase of 69.54%, driven by three main engines: AI transformation by state-owned enterprises, overseas expansion of leading tech companies, and growth in overseas content review services [4] Client Contributions - Traditional tech giants remain crucial clients, with Alibaba's global promotion needs leading to a fivefold increase in revenue contribution compared to the previous year, expanding from 29 languages to 119 languages supported by Haitai's data [7][6] - The overseas content review business has emerged as a new growth point, with a base in the Philippines providing services to multinational internet companies, generating annual revenues in the tens of millions [8] Data Market Expansion - The data market is expected to accelerate, with high-quality data becoming a key factor. Haitai Ruisheng collaborates with local governments and state-owned enterprises to build industry data sets, focusing on cultural tourism data [9][10] - The company is actively participating in global AI collaborations, establishing an AI innovation center in Guangxi to support the development of local language models for ASEAN countries, with an order scale of approximately 20 million yuan [13] Profitability and Margin Trends - The gross margin is expected to decline in the first half of 2025 due to an increase in customized services and a decrease in standardized products. The company aims to shift towards mid-to-high-end projects to improve profit margins, targeting a growth rate of at least 50% for the year [3][18] - The revenue structure has changed, with customized services accounting for a larger share, leading to a decrease in overall gross margin from a historical average of around 60% [18] Future Market Outlook - The market is anticipated to show accelerated expansion, with a significant gap in high-quality data for multimodal applications, particularly in voice and visual data [9][20] - The company is focusing on expanding its presence in overseas markets, where the potential is larger and competition is relatively lower, with expectations of at least 50% growth for the year [22] Strategic Collaborations - Haitai Ruisheng is collaborating with local governments on data processing platforms, providing ongoing data services, and training personnel to build a comprehensive data ecosystem [12] - The company has established a strategic partnership with Reiman to develop a humanoid robot data training center, emphasizing the importance of data in training models for robotics [14][16] Challenges and Cash Flow Management - The company faces cash flow pressures due to increased expenditures associated with customized services and management bonuses. Future strategies will focus on optimizing costs and managing cash flow more effectively [21] Conclusion - Haitai Ruisheng's business growth is underpinned by strong demand from both domestic and international tech giants, with a strategic focus on high-quality data services and collaborations with state-owned enterprises and local governments. The company is well-positioned for continued growth in the evolving AI landscape, despite challenges in profitability and cash flow management [19][22]

Core Insights - Jiangsu Province has initiated a public data practice case collection, with nine cases selected, showcasing the region's leadership in public data utilization and market-oriented data element allocation [1][4] - Nanjing's two selected cases highlight the effective application of the principle "data available but not visible," addressing industry pain points and societal needs [1][4] Group 1: Selected Cases - The first case from Xuanwu District involves Jiangsu ChuanGu Technology Co., which is developing a "High-Quality Medical Data Set" in collaboration with clinical disciplines, expected to be completed by November [2] - The data set aims to provide support for drug and medical device industry development through data analysis, AI model training, and product improvement [2] - Jiangsu International Data Port has established itself as a key public data integration and development site under the guidance of local data authorities [2] Group 2: Applications and Impact - The second case from Jianye District is the "Integrity Protection" judicial risk identification platform by Zhongzhou Shulian Technology, which utilizes authorized compliance data to cover over 200 million business entities and 1.4 billion individuals [3] - This platform enhances risk identification capabilities for small and micro enterprises, achieving multiple commercial transactions [3] - Jianye District has published nearly 500 application scenarios with a total investment exceeding 6.8 billion, positioning itself as a leader in data application development in Nanjing [3] Group 3: Future Directions - The selection of these cases reflects a commitment to leveraging data elements for industrial upgrades and promoting high-quality digital economic development in Jiangsu [4] - Jiangsu International Data Port and other platforms will continue to collaborate with enterprises to cultivate more exemplary cases and explore effective paths for data value release [4]

据介绍，下一步，省数据局将持续开展公共数据"跑起来"场景县(市、区)实践案例征集发布，定期更新名单，凝聚各方力量支持推进实践案例建设运营， 进一步发掘公共数据价值，为全省经济社会高质量发展提供有力支撑。 扬州邗江区案例"'邗小哥'智慧服务系统"则实现了数据运营商业模式可持续。一方面，向政府提供数据输出服务，助力政府高效提升对"两新"就业群体的 服务水平，形成可规模推广的"政府购买服务"范式。另一方面，面向市场打造"楼宇数据+零工经济"开放平台，提供楼宇精准导航与优先派单服务，通过 付费增值服务与撮合佣金等机制实现盈利渠道的多元化。 对于提高老百姓的生活质量，数据服务也体现出了强大的力量。无锡江阴市案例"数据暖阳.澄心护航"聚焦低保、特困群众政策知晓率低、申请流程繁复 等痛点，依托跨部门数据融合工程，构建"AI预筛-精准研判-智能推送"三级联动体系。依托政策大模型预筛潜在对象，结合动态数据库研判与线下核查精 准认定，认定后自动触发水电气有线电视费用减免，推动惠民纾困模式从"被动响应"向"智慧关怀"转型，助力提升群众获得感、满意度。 扬子晚报网8月31日讯(记者万承源)8月31日，江苏省数据局公布了本月公共数据" ...

Core Viewpoint - Guangzhou has been selected as a pilot city for national data infrastructure, showcasing the "Guangzhou Plan" at the 2025 China International Big Data Industry Expo and receiving the pilot task book from the national authorities [1][7]. Group 1: Pilot Project and Framework - The selection as a pilot for national data infrastructure is based on the integration of "three ports" concept, with "data port" as the core hub for data circulation, complemented by "air port" and "sea port" for specialized data [1][5]. - The project aims to establish a benchmark for data infrastructure in the Guangdong-Hong Kong-Macao Greater Bay Area [1]. Group 2: Technical Validation and Collaboration - Guangzhou has completed key technical validations for cross-domain data circulation and has participated in national interoperability tests, achieving verification of high-speed network capabilities and completing 40 test items [3][4]. - Collaborations with various regions and companies, including Hebei, Wenzhou, and China Unicom, have been established to test cross-domain interoperability and validate the feasibility of the "Guangzhou Plan" [3][4]. Group 3: Data Resource Integration and Achievements - The "data port" has aggregated 75.2 billion public data entries, with a daily exchange volume of 294 million entries, involving over 80 ecosystem participants and creating 87 data products [6]. - The "air port" has integrated data from 12 entities, processing approximately 1.81 million data entries and establishing a trusted data space for transportation [6]. - The "sea port" has launched 287 service projects, processing over 150 million data entries and serving nearly 60,000 individual users, with over 250,000 queries [6]. Group 4: Future Directions - Guangzhou will focus on addressing common challenges in data utilization and circulation, accelerating the implementation of data infrastructure construction as per national directives [7].

Group 1: Overview of Guizhou's Digital Economy - Guizhou has transformed from a region with little recognition to a prominent hub for big data, becoming a key player in driving new productive forces in the economy [1] - The digital industry in Guizhou reached a scale of 254.94 billion yuan in 2024, marking an 18.3% year-on-year growth [1] Group 2: Huawei's Role in Guizhou - Huawei has established its global cloud business headquarters in Guizhou, significantly contributing to the local digital economy and industrial ecosystem [2] - The company has upgraded its data center in Guizhou, which serves a service radius of 20,000 kilometers, benefiting from the region's favorable climate and energy resources [3][7] Group 3: Data Center Infrastructure - Guizhou has built 48 key data centers by the end of 2024, with a total computing power of 56.89 Eflops, making it one of the most resource-dense areas for intelligent computing in China [7] - The region's electricity cost is only 0.35 yuan per kilowatt-hour, leading to annual savings of billions compared to eastern regions [7] Group 4: Case Study - Manbang Group - Manbang Group has leveraged big data and AI to enhance logistics efficiency, evolving from a simple freight matching platform to a comprehensive logistics service provider [8][12] - The platform generates 120 TB of data daily, significantly reducing matching time from several days to minutes, thus lowering logistics costs and increasing driver income [11][12] Group 5: Innovations in Autonomous Driving - Guizhou Hankeisi has developed autonomous vehicles, including RoboBus, which are now operational in various locations, including scenic spots [17][22] - The company has focused on R&D in autonomous driving technology, benefiting from Guizhou's supportive policies and data ecosystem [19][24]