Latest news with #IBMThink2025
Business Wire
15-05-2025
- Business
- Business Wire
Datavault AI Reports First Quarter 2025 Results; Eyes Transformational Growth Ahead
BEAVERTON, Ore.--(BUSINESS WIRE)--Datavault AI Inc. (Nasdaq: DVLT), a leader in AI-driven data experience, valuation and monetization, reported first quarter 2025 financial results in its Form 10-Q, which was filed on May 14, 2025. The Company reaffirmed its 2026 revenue target of $40 million to $50 million and anticipates $12 million to $15 million in revenue in the second half of 2025. In addition, the Company expects close of its acquisition of CompuSystems, Inc. (CSI) during the week of May 19, 2025. 'We continue to build momentum around our core data monetization technologies with key partnerships and commercial breakthroughs,' said Nathaniel T. Bradley, CEO of Datavault AI. 'While the first quarter results reflect deliberate, investment-heavy execution, our operational pipeline and the pending CSI acquisition position us to begin unlocking meaningful, high-margin revenue in the second half of this year with accelerating growth in 2026.' Strategic & Commercial Highlights CSI Acquisition Closing: Shareholders approved the acquisition of CSI; closing is expected the week of May 19. The transaction is expected to drive revenue expectations in the second half of 2025 and position DVLT to scale faster. IBM's Partner Plus: Joined this program that will enhance AI-driven data monetization and leverage IBM watsonx™ to improve Datavault's AI agents and integrates with CLEAR for identity verification. ADIO® license to NYIAX: The Company's patented ADIO® technology was licensed to NYIAX, introducing ultrasonic advertising that delivers data over sound, aiming to revolutionize digital advertising with a privacy-first approach. Collaboration with Kove IO: Announced a secure, tokenized data vending solution at IBM Think 2025. The platform integrates Kove's software-defined memory with Datavault's Data Vault®, enabling real-time, encrypted data transactions without moving raw data. Deal with the NFL Alumni Association: Furthered the Company's VerifyU commercialization strategy through a 3-year deal with the NFL Alumni Association to mint immutable tokens for NFL alumni, enhancing access to benefits and creating new revenue streams Brand Visibility: Featured at IBM Think 2025, CES, and the White House Historical Association, highlighting breakthrough applications in secure data vending, ultrasonic advertising, and digital identity. Investor Conference Call on May 20, 2025 Datavault will host an investor call to review business progress and discuss the CSI acquisition: Date: Tuesday, May 20, 2025 Time: 9:00 AM ET Webcast & Presentation: Dial-in: 1-833-366-1124 (US), 1-412-317-0702 (Intl) Replay Available: Webcast replay will be available approximately one hour after the end of the call and will be available for 90 days, at the above webcast link. A telephonic replay will be available through May 27, 2025, and may be accessed by calling 1- 877-344-7529 (US) or 1-412-317-0088 (Intl) and using access code 8794302. About Datavault AI Inc. Datavault AI Inc. (Nasdaq: DVLT) is a next-generation data licensing and monetization company. Its patented platform empowers secure data valuation, exchange, and AI-driven monetization—enabling businesses and creators to unlock the true value of their data assets across cloud, Web 3.0, and experiential computing landscapes. Learn more at: Forward Looking Statements Disclaimer This press release contains 'forward-looking statements' within the meaning of the Private Securities Litigation Reform Act of 1995, as amended, and other securities laws. Words such as 'expect,' 'will,' 'anticipates,' 'estimates' and variations of such words and similar future or conditional expressions are intended to identify forward-looking statements. Such forward-looking statements, including statements herein regarding our business opportunities and prospects, strategy, future revenue expectations, licensing initiatives, recent funding and M&A activities as well as our plans to integrate acquired businesses and technologies, are necessarily based upon estimates and assumptions that, while considered reasonable by us and our management, are inherently uncertain. Readers are cautioned not to place undue reliance on these forward-looking statements. Actual results may differ materially from those indicated by these forward-looking statements as a result of various risks and uncertainties including, but not limited to, the following: the risk that we are unable to satisfy all closing conditions in connection with the senior notes issuance described above, and the acquisition of certain assets from CSI; our ability to successfully integrate all IP that we have acquired; risks regarding our ability to utilize the assets we acquire to successfully grow our market share; risks regarding our ability to open up new revenue streams as a result of the various agreements we have entered into and assets we have acquired; our current liquidity position and the need to obtain additional financing to support ongoing operations; general market, economic and other conditions; our ability to continue as a going concern; our ability to maintain the listing of our common stock on Nasdaq; our ability to manage costs and execute on our operational and budget plans; our ability to achieve our financial goals; the degree to which our licensees implement the licensed technology into their products, if at all; the timeline to any such implementation; risks related to technology innovation and intellectual property, and other risks as more fully described in our filings with the U.S. Securities and Exchange Commission. The information in this press release is provided only as of the date of this press release, and we undertake no obligation to update any forward-looking statements contained in this communication based on new information, future events, or otherwise, except as required by law.
Business Mayor
06-05-2025
- Business
- Business Mayor
IBM thinks that over a billion new applications will be built with gen AI : Here's how they're going to help that happen with agentic AI
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprise AI in 2025 is moving from experimentation to implementation and deployments are evolving from AI assistants to AI agents. That's the primary theme of the IBM Think 2025 conference, which gets underway today. At the event, IBM is announcing an extensive list of new enterprise AI services as well as enhancements to existing technologies to help move more enterprise AI efforts into real-world deployment. The core of IBM's updates are a series of updates for its watsonx platform that was first announced at Think 2023. At the Think 2024 event, the big theme was the introduction of orchestration and the ability to help enterprise build their own AI assistants. In 2025, AI assistants are table stakes and the conversation across the industry and in every enterprise is how to build, use and benefit from agentic AI. IBM is announcing a series of agentic AI capabilities, including: AI Agent Catalog : A centralized discovery hub for pre-built agents. : A centralized discovery hub for pre-built agents. Agent Connect : A partner program for third-party developers to integrate their agents with watsonx Orchestrate. : A partner program for third-party developers to integrate their agents with watsonx Orchestrate. Domain-specific agent templates for sales, procurement and HR. for sales, procurement and HR. No-code agent builder for business users without technical expertise. for business users without technical expertise. Agent development toolkit for developers. for developers. Multi-agent orchestrator with agent-to-agent collaboration capabilities. with agent-to-agent collaboration capabilities. Agent Ops (in private preview) providing telemetry and observability. IBM's fundamental goal is to help enterprises bridge the gap between experimentation, real-world deployments, and business benefits. 'Over the next few years, we expect there will be over a billion new applications constructed using generative AI,' IBM CEO Arvind Krishna said in a briefing with press and analysts. 'AI is one of the unique technologies that can hit at the intersection of productivity, cost savings and revenue scaling.' While there is no shortage of hype and interest in AI, that's not what actually makes a real difference for an enterprise concerned with the bottom line. Research sponsored by IBM shows that enterprises only get the return on investment (ROI) they expect approximately 25% of the time. Krishna noted that several factors impact ROI. They include access to enterprise data, the siloed nature of different applications, and the challenges of hybrid infrastructure. Read More What went wrong with 'the Metaverse'? An insider's postmortem 'Everybody is doubling down on AI investments,' Krishna said. 'The only change over the last 12 months is that people are stopping experimentation and focusing very much on where is the value to the business.' At the heart of IBM's announcements is a recognition that organizations are shifting from isolated AI experiments to coordinated deployment strategies that require enterprise-grade capabilities. 'We're trying to bridge the gap from where we are today, which is thousands of experiments into enterprise grade deployments which require the same kind of security governance and standards that we did demand on mission critical applications,' Ritika Gunnar, general manager data and AI at IBM, told VentureBeat in an interview. The evolution of IBM's watsonx Orchestrate platform reflects the broader maturity of AI technology. The platform was first announced by IBM in 2023, largely as a way to help build and work with AI assistants and automations. In 2024, as agentic AI first began to become mainstream, IBM started to add agentic capabilities and partnered with multiple vendors, including Crew AI. With IBM's new agentic AI components, the direction is now to help enable multi-agent collaboration and workflows. It's about going beyond just the ability to build and deploy agents to actually figuring out how an enterprise can generate an ROI from agents. 'We really believe that we're entering into an era of systems of true intelligence,' Gunnar said. 'Because now we're integrating AI that can do things for you and this is a big differentiation.' The industry has no shortage of attempts to help enable agentic AI. Langchain is a widely used platform for building and running agents and is also part of a wider effort alongside Cisco and Galileo for the AGNTCY open framework for agentic AI. When it comes to agent-to-agent communications, Google announced Agent2Agent in April. Then, of course, there is Model Context Protocol (MCP), which has emerged to become a de facto standard for connecting agentic AI tools to services. Read More Cohere adds vision to its RAG search capabilities Gunnar explained that IBM uses its own technology for the multi-agent orchestration piece. She noted that how agents work together is critical and is a point of differentiation for IBM. That said, she also emphasized that IBM is trying to take an open approach. That means enterprises can build agents with IBM's tools, such as BeeAI, or those from other vendors, including Crew AI or Langchain, and they'll all still work with watsonx Orchestrate. IBM is also enabling and supporting MCP. According to Gunnar, IBM is supporting MCP by making it easy for tools with an MCP interface to automatically show up and be usable in watsonx Orchestrate. Specifically, if a tool exists with an MCP interface, it will automatically be available to use in watsonx Orchestrate. 'Our goal is to be open,' she said. 'We want you to integrate your agents, regardless of whatever framework that you've built it in.' As part of making sure agentic AI is ready for enterprise usage, there is a need to ensure trust and compliance. That's also a critical part of IBM's push. Gunnar explained that IBM has built guardrails and governance directly into the watsonx portfolio. 'We're expanding the capabilities that we have for governance of LLMs into agentic technology, ' she said. 'Just as we have evaluation of LLMs, you need to be able to have an evaluation of what it means for agent responses.' IBM is also extending its traditional machine learning evaluation metrics to agent technologies. Gunnar said that IBM tracks over 100 different metrics for large language models, which it is now extrapolating and extending to agentic technologies as well. Agentic AI is already having real-world impact for many organizations. IBM is using its own agentic AI to help improve its own processes. Gunnar noted that using its own HR agent, 94% of simple to complex requests at IBM are actually answered by an HR agent. For procurement tasks, IBM's use of its own agentic workflows has helped to reduce procurement times up to 70%. Another big group of organizations that are already benefiting from IBM's agentic AI approach are the company's partners. For example, Ernst & Young is using IBM's agentic AI to build out a tax platform for its own clients. For enterprises looking to lead the way in AI deployment, IBM's agentic AI direction provides a blueprint for moving from experimentation to deployment. Simply building out an agent is not enough. If IBM's CEO is right, the future will involve thousands of agents working on enterprise tasks. Organizations will build and consume agents and agentic services like MCP from many different sources. IT leaders should evaluate the platform based on four critical factors: Integration capabilities with existing enterprise systems. Governance mechanisms for compliant and secure agent behavior. Balance between agent autonomy and predictable outcomes. ROI measurement capabilities for agent deployments. It's incumbent on enterprises to think now about how agents will all work together, how they will be secure and governed. IBM's agentic AI ecosystem will appeal to its enterprise clients and the openness to connect other agentic AI systems means that organizations hopefully won't be creating yet another silo.
Business Wire
06-05-2025
- Business
- Business Wire
CORRECTING and REPLACING Datavault AI and Kove Unveil Secure Data Monetization Solution at IBM Think 2025
BEAVERTON, Ore.--(BUSINESS WIRE)--Please replace the release with the following corrected version due to multiple revisions. The updated release reads: DATAVAULT AI AND KOVE UNVEIL SECURE DATA MONETIZATION SOLUTION AT IBM THINK 2025 AI-Powered Productivity and Monetization Could Add $5.7 Billion to S&P 500 Net Income by 2025 Datavault AI Inc. (NASDAQ: DVLT), a leader in AI-driven data valuation and monetization, today announced a collaboration with Kove IO, Inc., a high-performance computing innovator, to launch a secure, tokenized data vending solution. The platform, integrating Kove:SDM™ software-defined memory with Datavault's Data Vault®, debuts at IBM Think 2025 in Boston, targeting enterprises eager to unlock revenue from underutilized data. Morgan Stanley estimates that AI-driven productivity and monetization strategies could add $5.7 billion to S&P 500 net income by 2025, with platforms like Datavault AI enabling companies to capitalize on this opportunity. The solution, showcased at IBM's Partner Plus Pavilion alongside Adobe, Salesforce, and AWS, offers finance, biotech, and defense leaders a way to transform data into a financial asset. 'Our collaboration with Kove bridges the gap between data and dollars,' said Nathaniel Bradley, CEO of Datavault AI. 'Enterprises have long struggled to monetize data while meeting strict compliance standards. Our platform, enhanced by Kove's memory technology, delivers real-time, encrypted data transactions without moving raw data—unlocking new revenue streams.' The solution leverages Datavault's AI stack: DataScore® for asset appraisal, DataValue® for real-time pricing, and Data Vault Bank® for tokenized transactions via the patented Information Data Exchange®, now enhanced with NYIAX-Nasdaq financial frameworks. Kove:SDM™, eliminates computing bottlenecks, ensuring secure, on-premises data vending. Compatible with Snowflake, and Databricks, the Datavault platform integrates seamlessly into existing infrastructure. 'With Kove:SDM™, Datavault gets exactly the memory it needs, on demand—large job or small—even when the requirements exceed what a physical server on‑site can do,' said John Overton, CEO of Kove. 'By achieving maximum performance, Datavault reduces their costs while providing real‑time flexibility—at a level that was unattainable before Kove:SDM™ software‑defined memory.' The platform supports smart contracts for encrypted data sales, reducing cyber risks by avoiding traditional warehousing. This efficiency positions enterprises to capture a share of the $700 billion data monetization market i, projected to grow significantly by 2030. Datavault AI's recently announced $40 million to $50 million 2026 revenue target underscore its momentum. As AI reshapes financial reporting and compliance, Datavault AI and Kove offer a blueprint for enterprises to turn data into a competitive edge. 'IBM Think 2025 is the perfect stage to showcase this transformation,' Bradley added. 'We're ready to help S&P 500 firms and beyond realize their data's full potential.' About Datavault AI Inc. Datavault AI (NASDAQ: DVLT) pioneers AI-driven data monetization in the Web 3.0 era. Its cloud-based platform, featuring DataScore®, DataValue®, and Data Vault Bank®, serves industries like fintech, healthcare, and entertainment. Headquartered in Beaverton, Ore., Datavault AI drives responsible AI innovation. Learn more at About Kove Founded in 2003, Kove has a long history of solving technology's most vexing problems, from launching high-speed back-ups for large databases to setting sustained storage speed records. Most recently, after years of development, testing and validation, Kove launched the world's first patented and mature software-defined memory solution — Kove:SDM™. Kove:SDM™ enables enterprises and their leaders to achieve more by maximizing the performance of their people and infrastructure. Kove's team of passionate software engineers and technologists understands the importance of access to high performance computing technology and has worked with clients across a variety of industry verticals from financial services and life sciences to energy and defense. Kove is committed to delivering the products and personalized service that enable every enterprise to reach their full potential. To learn more, visit For more information about IBM Think 2025 visit here. Forward Looking Statements Disclaimer This press release contains 'forward-looking statements' within the meaning of the Private Securities Litigation Reform Act of 1995, as amended, and other securities laws. Words such as 'expect,' 'will,' 'anticipates,' 'estimates' and variations of such words and similar future or conditional expressions are intended to identify forward-looking statements. Such forward-looking statements, including statements herein regarding our business opportunities and prospects, strategy, future revenue expectations, licensing initiatives, recent funding and M&A activities as well as our plans to integrate acquired businesses and technologies, are necessarily based upon estimates and assumptions that, while considered reasonable by us and our management, are inherently uncertain. Readers are cautioned not to place undue reliance on these forward-looking statements. Actual results may differ materially from those indicated by these forward-looking statements as a result of various risks and uncertainties including, but not limited to, the following: the risk that we are unable to satisfy all closing conditions in connection with the senior notes issuance described above, and the acquisition of certain assets from CSI; our ability to successfully integrate all IP that we have acquired; risks regarding our ability to utilize the assets we acquire to successfully grow our market share; risks regarding our ability to open up new revenue streams as a result of the various agreements we have entered into and assets we have acquired; our current liquidity position and the need to obtain additional financing to support ongoing operations; general market, economic and other conditions; our ability to continue as a going concern; our ability to maintain the listing of our common stock on Nasdaq; our ability to manage costs and execute on our operational and budget plans; our ability to achieve our financial goals; the degree to which our licensees implement the licensed technology into their products, if at all; the timeline to any such implementation; risks related to technology innovation and intellectual property, and other risks as more fully described in our filings with the U.S. Securities and Exchange Commission. The information in this press release is provided only as of the date of this press release, and we undertake no obligation to update any forward-looking statements contained in this communication based on new information, future events, or otherwise, except as required by law.
Business Wire
05-05-2025
- Business
- Business Wire
Datavault AI and Kove Unveil Secure Data Monetization Solution at IBM Think 2025
BEAVERTON, Ore.--(BUSINESS WIRE)--Datavault AI Inc. (NASDAQ: DVLT), a leader in AI-driven data valuation and monetization, today announced a partnership with Kove, a high-performance computing innovator, to launch a secure, tokenized data vending solution. The platform, integrating Kove's SDM™ Memory Tower 39i with Datavault's Data Vault®, debuts at IBM Think 2025 in Boston, targeting enterprises eager to unlock revenue from underutilized data. Morgan Stanley estimates that AI-driven productivity and monetization strategies could add $5.7 billion to S&P 500 net income by 2025, with platforms like Datavault AI enabling companies to capitalize on this opportunity. The solution, showcased at IBM's Partner Plus Pavilion alongside Adobe, Salesforce, and AWS, offers finance, biotech, and defense leaders a compliant way to transform data into a financial asset. 'Our partnership with Kove bridges the gap between data and dollars,' said Nathaniel Bradley, CEO of Datavault AI. 'Enterprises have long struggled to monetize data while meeting strict compliance standards. Our platform, enhanced by Kove's memory technology, delivers real-time, encrypted data transactions without moving raw data—unlocking new revenue streams.' The solution leverages Datavault's AI stack: DataScore® for asset appraisal, DataValue® for real-time pricing, and Data Vault Bank® for tokenized transactions via the patented Information Data Exchange®, now enhanced with NYIAX-Nasdaq financial frameworks. Kove's SDM™ Memory Tower 39i eliminates computing bottlenecks, ensuring secure, on-premises data vending. Compatible with Microsoft Azure, Snowflake, and Databricks, the platform integrates seamlessly into existing infrastructure. 'With the Kove:SDM™ Memory Tower 39i, Datavault gets exactly the memory it needs, on demand—large job or small—even when the requirements exceed what a physical server on‑site can do,' said John Overton, CEO of Kove. 'By achieving maximum performance, Datavault reduces their costs while providing real‑time flexibility—at a level that was unattainable before Kove:SDM™ software‑defined memory.' The platform supports smart contracts for encrypted data sales, reducing cyber risks by avoiding traditional warehousing. This efficiency positions enterprises to capture a share of the $700 billion data monetization market i, projected to grow significantly by 2030. Datavault AI's recently announced $40 million to $50 million 2026 revenue target underscore its momentum. As AI reshapes financial reporting and compliance, Datavault AI and Kove offer a blueprint for enterprises to turn data into a competitive edge. 'IBM Think 2025 is the perfect stage to showcase this transformation,' Bradley added. 'We're ready to help S&P 500 firms and beyond realize their data's full potential.' A brief video about Datavault AI and a summary of today's announcement can be found here. About Datavault AI Inc. Datavault AI (NASDAQ: DVLT) pioneers AI-driven data monetization in the Web 3.0 era. Its cloud-based platform, featuring DataScore®, DataValue®, and Data Vault Bank®, serves industries like fintech, healthcare, and entertainment. Headquartered in Beaverton, Ore., Datavault AI drives responsible AI innovation. Learn more at About Kove Founded in 2003, Kove has a long history of solving technology's most vexing problems, from launching high-speed back-ups for large databases to setting sustained storage speed records. Most recently, after years of development, testing and validation, Kove launched the world's first patented and mature software-defined memory solution — Kove:SDM™. Kove:SDM™ enables enterprises and their leaders to achieve more by maximizing the performance of their people and infrastructure. Kove's team of passionate software engineers and technologists understands the importance of access to high performance computing technology and has worked with clients across a variety of industry verticals from financial services and life sciences to energy and defense. Kove is committed to delivering the products and personalized service that enable every enterprise to reach their full potential. To learn more, visit For more information about IBM Think 2025 visit here. Forward Looking Statements Disclaimer This press release contains 'forward-looking statements' within the meaning of the Private Securities Litigation Reform Act of 1995, as amended, and other securities laws. Words such as 'expect,' 'will,' 'anticipates,' 'estimates' and variations of such words and similar future or conditional expressions are intended to identify forward-looking statements. Such forward-looking statements, including statements herein regarding our business opportunities and prospects, strategy, future revenue expectations, licensing initiatives, recent funding and M&A activities as well as our plans to integrate acquired businesses and technologies, are necessarily based upon estimates and assumptions that, while considered reasonable by us and our management, are inherently uncertain. Readers are cautioned not to place undue reliance on these forward-looking statements. Actual results may differ materially from those indicated by these forward-looking statements as a result of various risks and uncertainties including, but not limited to, the following: the risk that we are unable to satisfy all closing conditions in connection with the senior notes issuance described above, and the acquisition of certain assets from CSI; our ability to successfully integrate all IP that we have acquired; risks regarding our ability to utilize the assets we acquire to successfully grow our market share; risks regarding our ability to open up new revenue streams as a result of the various agreements we have entered into and assets we have acquired; our current liquidity position and the need to obtain additional financing to support ongoing operations; general market, economic and other conditions; our ability to continue as a going concern; our ability to maintain the listing of our common stock on Nasdaq; our ability to manage costs and execute on our operational and budget plans; our ability to achieve our financial goals; the degree to which our licensees implement the licensed technology into their products, if at all; the timeline to any such implementation; risks related to technology innovation and intellectual property, and other risks as more fully described in our filings with the U.S. Securities and Exchange Commission. The information in this press release is provided only as of the date of this press release, and we undertake no obligation to update any forward-looking statements contained in this communication based on new information, future events, or otherwise, except as required by law.
