公司整合四大创新独立数据交易所，预计将为 2025 年第四季度营收作出贡献代币经济基础专利有望提振交易所在顶级知识产权律所主导下，启动针对头部银行的维权行动 比弗顿，俄勒冈州, Oct. 07, 2025 (GLOBE NEWSWIRE) -- AI 驱动的代币化与数据变现领域的先驱 Datavault AI Inc. (NASDAQ：DVLT) 今日更新其 2025 年第四季度展望及 2026 年营收指引。 公司 2025 年第四季度展望重点包括： 整合四大创新独立数据交易所增强专利组合，目前持有超过 70 项专利/申请，专注于构建代币经济产业更新 2026 年营收指引，以反映运营及资本性支出的全额资金保障计划聘请美国知名资深企业高管及行业领袖加入 Datavault AI 董事会与顾问委员会 设立四个创新型独立数据交易所 Datavault AI 欣然宣布已在特拉华州注册四家子公司，用以启动以下革命性独立数据交易所：International Elements Exchange Inc.、International NIL Exchange Inc.、Information Data Exchange I ...

Clients including Multilocal, 33Across and Audigent are utilizing the offering to package, activate and monetize data-driven deals at scaleNEW YORK, Oct. 01, 2025 (GLOBE NEWSWIRE) -- Nexxen, a global, flexible advertising technology platform with deep expertise in data and advanced TV, today announced the general availability of its Curated Marketplace solution. Curated Marketplace provides data owners, publishers, curators and agencies with the ability to monetize data assets over Nexxen’s premium supply. ...

NEW YORK, Oct. 01, 2025 (GLOBE NEWSWIRE) -- Nexxen, a global, flexible advertising technology platform with deep expertise in data and advanced TV, today announced the general availability of its Curated Marketplace solution. Curated Marketplace provides data owners, publishers, curators and agencies with the ability to monetize data assets over Nexxen’s premium supply. These tailored deals can deliver stronger, more measurable outcomes for buyers, while driving new demand for Nexxen’s publisher partners. W ...

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Core Insights - Digital initiatives in corporate America are failing to meet expectations, leading to significant productivity losses estimated at 21% due to disconnected systems and excessive manual intervention [2][4][26] - Companies are struggling with complex financial infrastructures, often managing multiple applications and logins, which complicates financial oversight and increases operational inefficiencies [3][5][30] - The fragmentation of data assets is resulting in a massive loss of potential value, as companies are not compensated for the data they provide to AI systems, leading to a significant wealth transfer to AI companies [10][12][13] Group 1: Digital Friction and Productivity Loss - Fortune 500 companies operate on an average of 254 applications, with employees managing 47 passwords, contributing to a 21% productivity drain [2][3] - Financial teams at large corporations face challenges in data reconciliation, spending excessive time on manual processes rather than strategic cash flow management [5][30] - The complexity of cross-border payments results in companies incurring 3% to 5% in transaction fees due to multiple intermediaries, highlighting the inefficiencies in current systems [6] Group 2: Financial Infrastructure Challenges - A treasury executive reported managing $2 billion across 27 financial relationships monthly, with significant time lost in reconciling data formats [5] - McKinsey research indicates that two-thirds of large tech programs exceed budgets and timelines, often by 50% or more, underscoring the challenges in financial infrastructure [5] - Companies are exploring next-generation financial solutions to unify management across traditional and digital assets, but regulatory uncertainties hinder widespread adoption [9][10] Group 3: Data Asset Management - Major publishers are losing out on the value generated from their content, which is used to train AI models worth billions without receiving compensation [10][12] - Startups are emerging with blockchain-based solutions aimed at providing transparency and compensation for data contributions, but established AI companies resist these changes [13] - The current landscape reflects a significant wealth transfer occurring in real-time, as companies fail to monetize their data effectively [10][12] Group 4: Identity Management Issues - IT departments spend 30% of their time on password resets, indicating a significant inefficiency in identity management systems [14] - Employees often have fragmented digital identities across various platforms, complicating integration and data management [15][16] - Major identity providers benefit from maintaining silos, which creates challenges for companies trying to streamline their identity management processes [15] Group 5: Access Complexity - Routine business operations, such as currency conversion, are hindered by complex interfaces, leading to significant time losses [19][20] - Traditional financial service providers have little incentive to simplify processes, as complexity supports their pricing models [20] - Emerging platforms are attempting to simplify access to digital assets, but compliance and auditability remain critical factors for enterprise adoption [21][22] Group 6: Regulatory and Competitive Landscape - Upcoming regulatory deadlines, such as EU DORA compliance in January 2025, are reshaping competitive advantages in the industry [28] - Companies that view compliance as a burden may miss opportunities for efficiency improvements [28] - The smart money is moving towards simplifying operations, as evidenced by companies like American Airlines and Reddit optimizing their processes and monetizing data effectively [24][25]

The FUTR Corporation to Complete $5.1 Million Financing, 17 Million $0.30 Units Fully CommittedAugust 26, 2025 7:29 AM EDT | Source: The FUTR CorporationToronto, Ontario--(Newsfile Corp. - August 26, 2025) - The FUTR Corporation (TSXV: FTRC) ("FUTR" or the "Company"), a consumer-centric platform for data valuation and monetization, is pleased to announce that it has received firm commitments for a non-brokered private placement of 17 million Units at $0.30 per Unit for aggregate proceeds of $5 ...

Core Viewpoint - Investors have been overly cautious about investing in the Chinese stock market, leading to missed opportunities despite favorable risk-to-reward profiles in the technology sector compared to American stocks [1][2]. Group 1: Chinese Stocks and Investment Opportunities - Chinese technology stocks, particularly Baidu, Alibaba, and PDD, present better risk-to-reward profiles than their American counterparts, with current valuations favoring Chinese companies [2]. - Institutional investors are beginning to recognize the potential in these stocks, as seen with Primecap Management increasing its stake in Baidu by 1.4%, bringing their total holdings to $1 billion [6]. - Analysts are optimistic about Baidu's future, with Citigroup's Alicia Yap rating it a Buy with a target price of $140, indicating a potential upside of 55% from current levels [7]. Group 2: Baidu's Business Model and Growth - Baidu operates similarly to Alphabet Inc., focusing on online search and data monetization, and is expanding into autonomous driving and robotaxis through partnerships with Uber and Lyft [4][5]. - The company's growth potential is underappreciated, contributing to institutional interest and a significant increase in holdings [6]. Group 3: Alibaba's Strategic Position - Alibaba is leveraging its data center expansion across Asia's growing economies, positioning itself as a key player in the consumer data market as middle-class sizes increase [9]. - The demand for cloud computing services is expected to rise, with Alibaba capturing a larger share of its total revenue from this segment [10]. - Analysts view Alibaba as a Moderate Buy with a target price of $159, suggesting a 30% upside from current prices [11]. Group 4: PDD's Market Position - PDD is positioned as a consumer engagement leader in Asia's growing economies, with a year-to-date performance of 31%, indicating strong fundamentals despite market concerns [14][15]. - Institutional confidence is reflected in Orbis Allan Gray's significant stake in PDD, valued at $591 million, highlighting the company's potential in a burgeoning consumer demographic [15][16].

Core Insights - VCI Global Limited has announced the acquisition of Secure Encryption Storage Limited, enhancing its position in the encryption infrastructure sector with 129 patents and deployments across over 100 institutions in Asia [1][2] Company Overview - Secure Encryption Storage Limited has a proven track record in sensitive environments, including government agencies and financial institutions, with hardware designed to withstand quantum decryption threats and achieving EAL4 certification [2] - VCI Global gains exclusive distribution rights for SES's product suite in Southeast Asia, targeting sectors such as telecommunications and finance with military-grade encrypted storage systems and secure mobile communication devices [3] Technology and Product Integration - SES's encryption technology will be integrated into QuantGold's sovereign AI infrastructure, enabling encrypted data processing in high-value sectors like finance and healthcare, ensuring privacy and regulatory compliance [4] - QuantGold's platform is designed for secure data monetization, leveraging over 120 encryption patents and military-grade hardware security [7][8] Market Trends - The global cybersecurity market is projected to exceed US$425 billion by 2030, while the AI data monetization sector is expected to surpass US$400 billion by 2035, positioning VCIG and QuantGold to capitalize on these megatrends [5] Strategic Vision - The company aims to build a trusted foundation for sovereign AI, focusing on eliminating cybersecurity threats through advanced encryption technologies [6]

Core Insights - Alpha Modus Holdings, Inc. has announced a personal capital commitment of up to $3 million from CEO William Alessi to support the company's growth and operational plans for the remainder of 2025 [1][2] - The CEO's recent conversion of preferred shares into common stock demonstrates alignment of long-term interests with shareholders [2][3] - The company is entering a transformative revenue period, with a robust pipeline of enterprise contracts expected to generate positive cash flow by year-end [3][4] Financial Strategy - Alpha Modus is focused on maintaining a lean operational model and avoiding variable rate financing to protect the value of its common shares [5][6] - The company has executed its commercialization roadmap effectively since its de-SPAC listing, with a strong emphasis on discipline and precision [3][5] Market Position - The CEO believes that the market undervalues the company's technology and intellectual property portfolio, anticipating a potential short squeeze as the company proves its value [5][6] - Alpha Modus is actively converting former legal adversaries into strategic partners, enhancing its market position through successful enforcement and monetization of its patent portfolio [4][5]

Core Insights - VCI Global Limited is developing Project QG, a next-generation infrastructure platform aimed at enabling sovereign AI deployment and encrypted data monetization for governments and institutions [1][4] - The global AI market is projected to exceed US$1.8 trillion by 2030, driven by enterprise adoption and the growth of AI-native infrastructure [2] - The cybersecurity and data protection market is expected to reach approximately US$298.5 billion by 2028, indicating a growing demand for secure data solutions [3] Project QG Overview - Project QG integrates AI-driven hardware encryption, zero-trust computing, and blockchain validation, positioning it as a foundational layer for future AI and data sovereignty [2] - The platform is designed for institutions that require sovereign-ready infrastructure to comply with data localization laws while maintaining control over their information [4] - VCI Global is currently engaging institutional stakeholders for early proof-of-concept pilots, with a full launch planned for Q3 2025 [5] Strategic Importance - The initiative addresses the underutilization of institutional and national datasets due to regulatory risks and privacy concerns, aiming to unlock value from sensitive data without compromising its integrity [6] - The convergence of AI, cybersecurity, and sovereign data economics places VCI Global at the forefront of this emerging market [4] - The company emphasizes the importance of monetizing proprietary data and software assets as a new revenue stream for enterprises [3]