RT CoinDesk Podcast Network (@CoinDeskPodcast)❓Is our future doomed if we don't fight back against data monetization?@paoloardoino joins us this week on #PrivacyInMotion with @MidnightNtwrk and @brave to discuss the ultimate fight for digital privacy. We explore how peer-to-peer technologies and the concept of stateless money can ensure data remains with the people, securing self-sovereignty against mass monetization. ...

Core Insights - Datavault AI Inc. has completed a series of events during Veterans Week in Washington, D.C., showcasing its technologies and initiatives aimed at supporting veterans and enhancing digital identity verification [1][2][6] Group 1: Valor Preservation Coin and VerifyU™ Platform - The Valor Preservation Coin is a key element of Datavault's VerifyU™ credentialing platform, designed to prevent fraudulent military service claims by digitizing DD214 discharge documents in compliance with various data-security standards [3][4] - The Valor Preservation Coin serves as a tokenized credential, allowing veterans to verify their service through a secure digital ledger, thus preventing unauthorized claims [4][10] Group 2: Government Engagement and Partnerships - Datavault AI is pursuing sole-source government contracting opportunities for credentialing and data verification, transforming its social mission into a commercially viable solution with recurring revenue potential [5] - The company participated in significant events such as the Grand Marshal Dinner and the Veterans Day Parade, enhancing its national visibility and reinforcing its commitment to technology that preserves authenticity and supports veterans [8][9] Group 3: Technology Demonstrations and Innovations - Datavault showcased its full technology stack, including the VerifyU™ credentialing system and DVHolo™ holographic engagement system, to government officials and military representatives, emphasizing its role in federal innovation and secure identity initiatives [6][10] - The company's technologies are designed to connect culture, government, and commerce, ensuring that verified identity remains immutable and protected [11]

Core Insights - Datavault AI Inc. has granted an exclusive worldwide license to Scilex Holding Company for its AI-driven technology, aimed at creating a Biotech Exchange platform for secure tokenization and monetization of biotech assets [1][2][3] - The agreement highlights the potential to tokenize approximately $2.0 trillion in pharmaceutical drug sales and diagnostic sales, providing an alternative for companies to secure non-dilutive funding [3][4] - Datavault AI's robust intellectual property portfolio includes key patents that support the secure tokenization and exchange of sensitive genetic information [4][6] Licensing Agreement Details - Datavault AI will receive a non-refundable upfront license fee of $10 million, paid in four installments of $2.5 million each by Scilex [6][8] - Additionally, Datavault AI is eligible for sales milestone payments of up to $2.55 billion based on Scilex achieving certain sales milestones [7][8] Technology and Market Potential - The technology licensed to Scilex is expected to extend into a Pharmaceutical Exchange platform, potentially transforming the pharmaceutical industry [2] - The tokenization opportunity in the pharmaceutical sector is significant, with estimates suggesting a market size of $2.0 trillion for drug sales and diagnostics [3][4] Intellectual Property and Innovations - Datavault AI's intellectual property includes a pending patent for "Platform and Method for Tokenizing DNA Data," which establishes a secure framework for tokenizing genetic information [4][6] - The company has a comprehensive suite of issued and pending patents that support the Biotech Exchange, enabling secure data handling and monetization [4][6] Previous Collaborations and Technological Advancements - The licensing agreement builds on Datavault AI's previous collaborations, including work with Brookhaven National Laboratory on biofuel research [5] - Datavault AI's technology suite is customizable and includes AI and Machine Learning automation, third-party integration, and detailed analytics [9]

Core Viewpoint - The recent deal between Amazon and OpenAI is seen as a significant move in the AI sector, with implications for data monetization and competitive dynamics among tech companies [1][12]. Company Insights - Amazon is characterized as a "fast follower" in the tech industry, often capitalizing on existing innovations rather than leading them [3][19]. - OpenAI is criticized for shifting from its original open-source mission to a profit-driven model, raising concerns about data ownership and ethical practices [3][6][18]. - Nvidia is recognized as a leader in semiconductor technology, with its processing power being essential for AI advancements [2][12]. Industry Dynamics - The integration of AI and data systems is viewed as a monetization strategy, with companies needing to respect data sovereignty and ownership [8][9]. - There is a growing concern about the fragility of the technological infrastructure in the U.S. to support the increasing demands of AI [14][15]. - The energy requirements for AI operations are highlighted as a critical issue, with current power grids being inadequate to support future ambitions [14][16]. Ethical Considerations - The ethical implications of AI development are emphasized, with a call for technologies that benefit the broader public rather than just wealthy corporations [18][19]. - Companies like OpenAI are seen as lacking the necessary ethical framework to ensure that AI advancements serve the interests of all stakeholders [18].

Core Insights - The FUTR Corporation reported record revenue of $8.34 million for the fiscal year ending June 30, 2025, marking a 13% increase year over year [1][7] - The fourth quarter revenue was $2.1 million, reflecting a 6% increase compared to the same quarter in the previous year [7] - Gross margins remained strong at 90% [7] Financial Performance - Adjusted loss from operations for Q4 2025 was $857,110, an increase from a loss of $239,986 in Q4 2024, attributed to higher overhead, growth investments, and one-time costs from a transaction [7] - From April 2025 to October 2025, the company raised over $11.7 million in equity, enhancing its balance sheet for future growth initiatives [7] Company Overview - The FUTR AI Agent App aims to provide financial benefits to consumers through a unique data monetization rewards system and personalized offers [4]

Core Insights - Datavault AI Inc. has announced its Q4 2025 outlook and 2026 revenue guidance, focusing on the establishment of four innovative independent data exchanges aimed at revolutionizing asset tokenization in various sectors [1][4]. Group 1: Independent Data Exchanges - The company has registered four subsidiaries in Delaware to launch the following exchanges: International Elements Exchange Inc., International NIL Exchange Inc., Information Data Exchange Inc., and American Political Exchange Inc. [1] - These exchanges are expected to reshape the asset tokenization landscape, enabling businesses, investors, and institutions to explore new value streams in a rapidly growing market [1][4]. Group 2: Regulatory and Technological Framework - The exchanges will be independently regulated by Houlihan Lokey, with electronic trading technology provided by NYIAX, in collaboration with Nasdaq [2]. - Management plans to expedite the launch of International Elements Exchange and International NIL Exchange, aiming for completion by the end of 2025, in line with recent legislative guidance [2]. Group 3: Intellectual Property and Legal Strategy - Datavault AI's patent portfolio has exceeded 70 patents, supporting the exchanges and establishing the company as a leader in the token economy [3]. - The company is focusing on a defensive strategy against major banks that may infringe on its intellectual property, having engaged a top-tier IP law firm to protect its rights [3][4]. Group 4: Revenue Projections and Market Opportunities - The establishment of the four exchanges is expected to contribute to Q4 2025 revenue, with the token economy's foundational patents anticipated to boost exchange activities [4]. - The company has updated its 2026 revenue guidance, projecting revenues to exceed the previous target range of $40 million to $50 million, driven by rapid industry shifts towards tokenization and licensing opportunities [7]. Group 5: Market Potential of Each Exchange - International Elements Exchange Inc. will focus on tokenizing real-world assets like unmined gold and carbon credits, with analysts predicting the global market for real asset tokenization to exceed $16 trillion by 2030 [5]. - International NIL Exchange Inc. aims to help athletes and entertainers monetize their name, image, and likeness (NIL), with the U.S. NIL market expected to surpass $1.14 billion by 2025 [5]. - Information Data Exchange Inc. will provide a secure platform for data monetization across various industries, with the global data monetization market projected to exceed $7 billion by 2027 [5]. - American Political Exchange Inc. will utilize blockchain technology for transparent political donations, with the U.S. political donation market exceeding $14 billion during the 2020 election cycle [5]. Group 6: Technological Partnerships - Datavault AI's technological advantage stems from its collaboration with IBM, developing three AI engines: Datavalue®, DataScore®, and Data Vault Bank™, which are expected to enhance the tokenization ecosystem [6].

Core Insights - Nexxen has launched its Curated Marketplace solution, enabling data owners, publishers, curators, and agencies to monetize data assets effectively over its premium supply [1][2] Group 1: Curated Marketplace Features - The Curated Marketplace allows partners to package, activate, and monetize data-driven private marketplace deals (PMPs) by onboarding first-party data or accessing various differentiated data sources through Nexxen's Data Management Platform [2] - Key benefits include simplified curation, enhanced control, optimization, and measurement for partners, driving meaningful value at scale [3] Group 2: Partnerships and Collaborations - Multilocal's partnership with Nexxen combines marketplace infrastructure with curation intelligence, enabling transparent planning and optimization of data-driven deals [3] - 33Across collaborates with Nexxen to streamline supply-side curation, enhancing campaign performance through data and media activation intelligence [3] - Experian Marketing Services emphasizes the importance of transparent curation, stating that Nexxen's Curated Marketplace facilitates faster movement from testing to outcomes for advertisers and publishers [3] Group 3: Company Overview - Nexxen is a global advertising technology platform that empowers various stakeholders, including advertisers, agencies, publishers, and broadcasters, to utilize data and advanced TV effectively [4] - The company's technology stack includes a demand-side platform (DSP) and supply-side platform (SSP), with the Nexxen Data Platform at its core, designed to support diverse goals from broad to niche [5]

Core Insights - Nexxen has launched its Curated Marketplace solution, enabling data owners, publishers, curators, and agencies to monetize data assets effectively over its premium supply [1][2] Group 1: Curated Marketplace Features - Curated Marketplace allows partners to package, activate, and monetize data-driven private marketplace deals through onboarding first-party data or accessing various data sources via Nexxen's Data Platform [2] - The solution combines proprietary data with premium supply, providing partners with tools to control, optimize, and measure their campaigns, thus driving value at scale [3] Group 2: Partnerships and Collaborations - Nexxen's partnership with Multilocal enhances the curation process, allowing partners to plan and optimize data-driven deals across Nexxen's marketplace [3] - Collaboration with 33Across aims to streamline supply-side curation, improving efficiency and campaign performance for buyers [3] - Experian Marketing Services emphasizes the importance of transparent curation, stating that Nexxen's platform facilitates faster movement from testing to outcomes for advertisers and publishers [3] Group 3: Benefits for Stakeholders - Data owners can integrate and monetize their proprietary data with advanced tools and reporting [5] - Curators benefit from a self-service platform that provides premium inventory and optimization tools [5] - Publishers can enhance audience reach and sales engagement while tapping into increased advertiser demand [5] - Retail media networks can onboard data for precise targeting across omnichannel supply [5] - Buyers and agencies can activate data across various channels, supported by flexible onboarding [5] Group 4: Company Overview - Nexxen is a global advertising technology platform headquartered in Israel, with a presence in the United States, Canada, Europe, and Asia-Pacific, and is traded on Nasdaq under the ticker NEXN [4][6]

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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]