PHILADELPHIA, PA / ACCESS Newswire / February 20, 2026 / Datavault AI Inc. (NASDAQ:DVLT) ("Datavault AI" or the "Company"), a provider of data monetization, credentialing, digital engagement, and real-world asset tokenization technologies, today announced that its board of directors (the "Datavault Board") has changed the distribution dates for both the (i) previously announced dividend (the "Warrant Distribution") of warrants (the "Warrants") to purchase shares of Datavault AI common stock, par value $0.00 ...

SAN FRANCISCO, Feb. 17, 2026 (GLOBE NEWSWIRE) -- LiveRamp® (NYSE: RAMP), a leading data collaboration platform, today announced that its CEO Scott Howe and CFO Lauren Dillard will present at the Morgan Stanley Technology, Media & Telecom Conference in San Francisco, CA on Monday, March 2nd at 9:15 a.m. PT / 12:15 p.m. ET. Links to the live webcast of the presentation and a replay will be available on LiveRamp’s investor relations website. About LiveRamp LiveRamp is a leading data collaboration technology co ...

PHILADELPHIA, PA / ACCESS Newswire / February 17, 2026 / Datavault AI Inc. (NASDAQ:DVLT) ("Datavault AI" or the "Company"), a leader in data monetization, credentialing, digital engagement and real-world asset (RWA) tokenization technologies, today announced its updated preliminary (unaudited) fiscal year 2025 revenue is estimated to be $38 to $40 million, exceeding its prior estimate of $30 million by up to 33%. At its midpoint, estimated FY-25 revenue represents approximately 1,300% growth year-over-year ...

PHILADELPHIA, PA / ACCESS Newswire / February 13, 2026 / Datavault AI Inc. (NASDAQ:DVLT) ("Datavault AI" or the "Company"), a provider of data monetization, credentialing, digital engagement, and real-world asset tokenization technologies, today announced that its board of directors (the "Datavault Board") has changed the distribution date for the previously announced dividend (the "Distribution") of warrants (the "Warrants") to purchase shares of Datavault AI common stock, par value $0.0001 per share (the ...

PHILADELPHIA, PA / ACCESS Newswire / February 11, 2026 / Datavault AI Inc. (NASDAQ:DVLT) ("Datavault AI" or the "Company"), a leader in data monetization, credentialing, digital engagement and real-world asset (RWA) tokenization technologies, announced that on Tuesday evening, Chief Executive Officer Nate Bradley hosted a private, invitation-only dinner at Mar-a-Lago for a select group of institutional investors, high-net-worth individuals, and senior government officials. The private dinner followed succes ...

Core Insights - LiveRamp reported a 9% year-over-year increase in total revenue for the quarter ended December 31, 2025, reaching $212 million [7][6] - The company achieved record quarterly operating margin and operating cash flow, with operating income rising to $40 million from $15 million in the prior year [5][7] - Share repurchases totaled $119 million fiscal year-to-date, with 1.4 million shares repurchased in the third quarter [7][6] Financial Performance - Subscription revenue was $158 million, up 9% year-over-year, while Marketplace & Other revenue increased by 8% to $54 million [7][6] - GAAP gross profit was $153 million, reflecting a 9% increase, with a gross margin of 72% [7][6] - Non-GAAP operating income rose by 36% to $62 million, with a non-GAAP operating margin of 29% [7][6] Earnings and Cash Flow - Net earnings for the quarter were $40 million, compared to $11 million in the prior year, resulting in diluted earnings per share of $0.62 [7][6] - Operating cash flow increased to $67 million from $45 million year-over-year [7][6] - Free cash flow for the quarter was also reported at $67 million, up from $45 million [8] Business Developments - The company launched new AI tools in its Data Marketplace and expanded partnerships, notably with Publicis [5][12] - LiveRamp ended the quarter with 140 customers generating over $1 million in annualized subscription revenue, an increase from 125 in the previous year [12][7] - Annualized recurring revenue (ARR) reached $527 million, up 7% compared to the prior year [12][7]

Core Insights - Datavault AI Inc. has signed a memorandum of understanding with St. John's University in Taipei to establish the RWA International Research Center, aimed at promoting inter-university alliances and international collaboration in real-world asset tokenization and regulatory technology [1][4] - The Asia-Pacific market for real-world asset tokenization is projected to reach approximately $2.5 billion by 2030, indicating significant growth potential in this sector [2] - The Center will focus on advancing standards, education, and cross-disciplinary collaboration to support the responsible digitization of physical assets through distributed-ledger and data technologies [2][4] Company Contributions - Datavault AI will provide proprietary software capabilities and support research and pilot activities through its Information Data Exchange® (IDE) and International Elements Exchange™ (IEE), which will enhance secure data attribution and governance [3][4] - The company’s VerifyU® framework will facilitate identity validation and compliance-oriented workflows within academic and applied research environments [3] Long-term Objectives - The Center is expected to evolve into a center of excellence for RWA attribution and management, with plans to form a multi-university alliance in Taiwan and engage international partners from Europe and the United States [4] - The research agenda will include regulatory technology standardization, applied asset-digitization use cases, data governance, and workforce development through various educational programs [4] Leadership Statements - The CEO of Datavault AI emphasized the commitment to research-led innovation and the importance of supporting an academic platform with clear governance and objectives [5] - The President of St. John's University highlighted the collaboration's goal to strengthen international academic exchange and contribute to the responsible evolution of financial and data technologies [5]

Core Viewpoint - LiveRamp is set to release its fiscal 2026 third quarter financial results on February 5, 2026, after market close, followed by a conference call to discuss the results [1] Group 1: Financial Results Announcement - The financial results will be released on February 5, 2026, after the financial markets close [1] - A conference call to discuss the results will take place on the same day at 1:30 p.m. PT [1] - The conference call can be accessed via telephone or through a live webcast on the investor relations website [2] Group 2: Company Overview - LiveRamp is a leading data collaboration technology company that empowers marketers and media owners to enhance marketing performance [3] - The company's data collaboration network integrates data across various stakeholders, providing insights and driving growth [3][4] - LiveRamp is recognized for its commitment to neutrality, interoperability, and global scale, helping organizations maximize data value [4]

Core Insights - The infrastructure supporting artificial intelligence is undergoing a significant transformation, driven by the convergence of open formats, AI capabilities, and the unsustainable costs of integrating numerous tools [1][2]. Group 1: Importance of Fundamentals - Basic skills remain crucial as architecture changes can disrupt pipelines, and data quality issues continue to plague organizations, costing an average of $12.9 million annually due to poor data quality [2][11]. - The key challenge by 2026 will not be the existence of these issues but the speed and method of their detection and resolution [2]. Group 2: Metadata Layer as a Battleground - The storage layer competition has concluded with Iceberg, Delta Lake, and Hudi emerging as winners, while Parquet has become the common language for data storage [3][6]. - The focus is shifting upstream to the metadata layer, which is becoming the operational backbone of data management, encompassing data lineage, quality rules, access policies, and business context [6][20]. Group 3: Simplification of Data Stacks - Organizations are experiencing tool fatigue, managing an average of 15 to 30 different tools across various data functions, which is unsustainable [7][9]. - By 2026, the integration process will accelerate, with platforms like Snowflake and Databricks consolidating functionalities to streamline data operations [10]. Group 4: Data Quality as a Business Function - Data quality metrics will shift from engineering-focused indicators to business outcomes, with organizations increasingly linking data pipeline failures to revenue impacts [11][12]. - By 2026, 80% of organizations are expected to deploy AI/ML-driven data quality solutions, emphasizing the need for accountability through data contracts between producers and consumers [12]. Group 5: AI Agents Replacing Dashboards - The traditional model of data observability through dashboards is becoming obsolete, with AI agents expected to take over operational responsibilities by 2026 [13][15]. - These AI agents will be capable of understanding business context, automatically tracing issues, and applying fixes, fundamentally changing the approach to data observability [15]. Group 6: AI Reshaping Data Infrastructure - The initial design of data stacks was for dashboard services, not AI workloads, but AI is now a primary user of data [16]. - By 2026, two types of companies will emerge: AI-native architectures designed for AI workloads and traditional stacks with AI capabilities added later [16]. Group 7: The Rise of Semantic Layers - Semantic layers, previously seen as optional, are becoming essential for AI applications, providing necessary context for data interpretation and ensuring data quality [17]. - These layers serve as a bridge between technical data and business meaning, crucial for AI agents to function effectively [17]. Group 8: Common Theme - A common theme across the predictions is the shift from passive to proactive data infrastructure, where systems will not only store and visualize data but also understand, reason, and act based on interactions [18][19].

Core Viewpoint - The event held in Changsha focused on the theme "Data Empowerment, Multiplying Upwards," showcasing the city's achievements in the data element sector and exploring innovative paths for data value release [1] Group 1: Competition Results - The Changsha preliminary competition attracted 191 teams, with one team advancing to the finals after expert evaluations and presentations [3] - Changsha won 64 awards in the provincial competition, including 21 first prizes, and received the "Pioneer Award" from the Changsha Data Bureau [3] - In the national finals, Changsha secured 10 awards, including 2 first prizes, ranking first among provincial capital cities in terms of both quantity and level of awards [3] Group 2: Policy Insights - A special session was dedicated to policy explanations to facilitate project implementation, with insights from Chen Jianhua, Chief Engineer of the Changsha Data Bureau, on funding and project quality management [3] - Attendees expressed that the policy discussions were highly relevant and provided clear guidance for future project development [3] Group 3: Expert Opinions - Experts highlighted that data empowerment has entered a new phase of both breadth and depth, with Changsha positioned among the top tier nationally due to its clear strategy and solid industrial foundation [5] - As one of the first national data labeling bases, Changsha possesses high-quality data production capabilities and rich industrial heritage, particularly in engineering machinery and audio-visual cultural creation [5] Group 4: Future Outlook - The Changsha Data Bureau plans to deepen market-oriented reforms in data element allocation, focusing on four key areas: enhancing project transformation, exploring data resource utilization, building a development ecosystem, and seizing policy opportunities [6] - The goal is to transition successful competition projects from the "arena" to the "market," encouraging businesses to clarify commercialization paths and application scenarios [6] - The bureau aims to cultivate a batch of data-driven enterprises and develop public data authorization operation demonstration projects by 2026 [6]