Latest news with #IBMwatsonx
Business Wire
29-04-2025
- Business
- Business Wire
Box and IBM Partner to Bring New Enterprise-Level AI Models to Support Content Generation and Productivity
REDWOOD CITY, Calif & ARMONK, N.Y.--(BUSINESS WIRE)--Box, Inc. (NYSE: BOX), the leading Intelligent Content Management (ICM) platform, and IBM (NYSE: IBM) today announced they are partnering to help organizations accelerate the adoption of enterprise-level AI for content-driven workflows using IBM watsonx and Box AI. Additionally, Box is using internally for life-cycle management of AI models to monitor, govern and provide guardrails for various regulations. Box and IBM partner to bring new enterprise-level AI models to support content generation and productivity Share The majority of an organization's data is often unstructured — buried within contracts, spreadsheets, presentations and more. This data can be highly valuable for AI, but often highly sensitive. Building a trusted technology pipeline for AI to access this data can be essential for security and compliance efforts, particularly in highly regulated industries. Box customers now have the option of leveraging Box AI with IBM watsonx to help unlock the value of their enterprise content and data. The solution uses IBM's enterprise AI studio, to deliver a selection of models for Box AI – including the open-source, IBM Granite models and the latest Meta Llama models. Infusing AI capabilities into business process automation and content management can help organizations tackle a wide range of AI-driven use cases such as data extraction, automated document processing and content analysis. IBM is using Box AI with IBM watsonx within its own workforce today, and Box is now making this solution available to other enterprise customers. 'The impact AI is having on the enterprise is unlike anything we've seen since the birth of the internet,' said Aaron Levie, co-founder and CEO of Box. "Traditionally, knowledge work has been constrained by the time it takes to research, create and review content — but AI changes that, accelerating these processes exponentially. By deepening our partnership with IBM and leveraging watsonx, we're empowering enterprises to harness AI responsibly and at scale." 'Organizations are seeking purpose-built AI solutions that empower their teams to make faster, data-driven decisions,' said Rob Thomas, Senior Vice President, Software and Chief Commercial Officer, IBM. 'Our partnership with Box enables businesses to seamlessly integrate AI into their core processes, helping to enhance productivity and transform operations.' Additionally, Box has deployed IBM internally to help address responsible AI deployment across its model lifecycles, from development to production. It is designed to assist Box address risk, compliance obligations and the AI lifecycle, helping AI-driven insights remain auditable. Box also continues using Red Hat OpenShift, the industry's leading hybrid cloud application platform powered by Kubernetes, which enables Box to support faster, scalable AI application development and deployment across cloud environments, helping to deliver secured and efficient AI-driven workflows on pace with evolving enterprise needs and technological innovation. IBM has enabled Box AI with IBM watsonx to elevate employee productivity within its own workforce, providing them with seamless interaction directly with their Box content. With Box AI, IBMers experience how partners embed watsonx into their own solutions and bring IBM technology to clients across industry. Box AI with IBM watsonx is now available to Box Enterprise Advanced customers via Box AI Studio and Box AI APIs. IBM is a Box authorized reseller, and customers buying Box products that include Box AI through IBM will be equipped with IBM's flagship family of AI models built for business, enabling a seamless experience. Learn more about how Box AI with IBM watsonx will transform the way you work with your content at IBM Think, May 5-8 and Box's Content + AI Summit on May 15, 2025. About Box Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. Founded in 2005, Box simplifies work for leading global organizations, including AstraZeneca, JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. Visit to learn more. And visit to learn more about how Box empowers nonprofits to fulfill their missions. About IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit for more information.
Yahoo
01-04-2025
- Business
- Yahoo
Datavault AI Joins IBM Partner Plus to Transform AI-Driven Data Monetization
Integration of IBM watsonx and CLEAR Identity Platform Enhances Enterprise Scale Data Tokenization on Patented Information Data Exchange® AI Agents—Data Vault Bank, DataScore and DataValue—Now to be Powered by IBM watsonx for Secure and Scalable Monetization BEAVERTON, Ore., March 24, 2025--(BUSINESS WIRE)--Datavault AI Inc. (Nasdaq: DVLT), leading the way in AI data experience, valuation, and monetization, today announced its inclusion in IBM's prestigious Partner Plus program. As one of IBM's 500 global partners, Datavault AI will leverage IBM watsonx™ to enhance its AI agents—Data Vault Bank®, DataScore® and DataValue®—driving the next wave of AI-powered financial modeling and tokenization. This collaboration is bolstered by Datavault AI's completed integration with CLEAR, its trusted identity and Know Your Customer (KYC) partner. Together, they form a key component of Datavault AI's patented Data Vault Web 3.0 platform, which continues to evolve with next-generation data indexing, perception and monetization capabilities. Further enhancements are underway through a strategic alliance with NYIAX, which is integrating with Data Vault via the Information Data Exchange®. "Datavault AI's inclusion in IBM's Partner Plus program is a major milestone in our mission to redefine data as a financial asset," said Nathaniel Bradley, CEO of Datavault AI. "By integrating IBM watsonx's AI governance and automation tools, we ensure our AI agents provide secure, compliant and scalable monetization solutions for enterprises globally." According to McKinsey & Company, generative AI is projected to add between $2.6 trillion and $4.4 trillion annuallyi across key business applications, making AI-driven automation one of the most significant investment frontiers in enterprise technology. "At CLEAR, we believe identity is foundational across so many industries," said Andres Ricaurte, Head of Consumer and Financial Services at CLEAR. "We are partnering with Datavault AI to deliver our secure, KYC compliant solution for its customers." Datavault AI has developed a fully integrated AI-powered ecosystem that enables organizations to monetize their data assets through its three flagship AI agents: Data Vault Bank®: A Web 3.0-powered AI engine that converts enterprise data into structured, tradable assets. DataScore®: A patented AI-driven scoring and risk analysis tool that assess data quality and ensures compliance with GDPR, CCPA, and other regulatory standards. DataValue®: A patented AI-driven pricing engine that assigns real-world financial valuations to enterprise data, creating new liquidity and trading opportunities. By integrating these AI agents with IBM watsonx, Datavault AI enables enterprises to harness AI-powered data valuation without the risks of regulatory scrutiny or privacy violations. Watsonx's governance tools mitigate AI bias, prevent model drift and ensure compliance across highly regulated industries, including finance, healthcare, and government. Additionally, Datavault AI will leverage IBM's synthetic data generation technology, allowing clients to train AI models without exposing sensitive customer data—a key advantage for industries with strict privacy requirements. Additionally, integration with IBM watsonx Orchestrate, an automation framework for managing AI agents, will streamline enterprise financial modeling, risk assessment, and pricing strategies across on-premises, cloud, and hybrid environment. "As my exciting first 90 days come to a crescendo under the Datavault AI brand name, it's abundantly clear that enterprises are seeking new revenue streams, and our AI-driven platform is a logical mean to facilitate that. IBM's AI ecosystem enhances our ability to scale AI monetization across multiple industries while ensuring the highest levels of compliance and security. Through strategic partnerships with IBM, CLEAR, and NYIAX, we are pioneering a new data economy that drives real financial value for our customers," added Bradley. Datavault AI's inclusion in IBM's Partner Plus program will accelerate adoption of AI-driven data valuation and licensing across industries. With AI-powered data assets projected to become the next trillion-dollar market, this partnership positions Datavault AI as a leader in AI-driven financial modeling. About Datavault AI Inc. Datavault AITM (Nasdaq: DVLT) is leading the way in AI driven data experiences, valuation and monetization of assets in the Web 3.0 environment. The company's cloud-based platform provides comprehensive solutions with a collaborative focus in its Acoustic Science and Data Science Divisions. Datavault AI's Acoustic Science Division features WiSA®, ADIO® and Sumerian® patented technologies and industry-first foundational spatial and multichannel wireless HD sound transmission technologies with IP covering audio timing, synchronization and multi-channel interference cancellation. The Data Science Division leverages the power of Web 3.0 and high-performance computing to provide solutions for experiential data perception, valuation and secure monetization. Datavault AI's cloud-based platform provides comprehensive solutions serving multiple industries, including HPC software licensing for sports & entertainment, events & venues, biotech, education, fintech, real estate, healthcare, energy and more. The Information Data Exchange® (IDE) enables Digital Twins, licensing of name, image and likeness (NIL) by securely attaching physical real-world objects to immutable metadata objects, fostering responsible AI with integrity. Datavault AI's technology suite is completely customizable and offers AI and Machine Learning (ML) automation, third-party integration, detailed analytics and data, marketing automation and advertising monitoring. The company is headquartered in Beaverton, OR. Learn more about Datavault AI at About IBM watsonx With IBM watsonx™ AI portfolio of products, we are forging new and extending existing technology partnerships with artificial intelligence (AI) technology leaders to boost innovation and unlock value for enterprises around the world. Together with Datavault AI, we are: Accelerating AI innovation. Reducing transformation costs and risk. Creating new business opportunities. About CLEAR CLEAR's mission is to create frictionless experiences. With over 25 million members and a growing network of partners across the world, CLEAR's identity platform is transforming the way people live, work, and travel. Whether you are traveling, at the stadium, or on your phone, CLEAR connects you to the things that make you, you – making everyday experiences easier, more secure, and friction-free. CLEAR is committed to privacy done right. Members are always in control of their own information, and we never sell member data. For more information, visit Cautionary Note Regarding Forward-Looking Statements This press release of Datavault AI contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended (the "Securities Act"), and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements, include, among others, the Company's expectations with respect to the strategic business and intellectual property agreements (the "Agreements"), including statements regarding the benefits of the Agreements, the implied valuation of the Company, the products offered by the Company and the markets in which it operates, and the Company's projected future results and market opportunities, as well as information with respect to Datavault AI's future operating results and business strategy. 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 a variety of factors, including, but not limited to: (i) risks and uncertainties impacting Datavault AI's business including, risks related to its current liquidity position and the need to obtain additional financing to support ongoing operations, Datavault AI's ability to continue as a going concern, Datavault AI's ability to maintain the listing of its common stock on Nasdaq, Datavault AI's ability to predict the timing of design wins entering production and the potential future revenue associated with design wins, Datavault AI's ability to predict its rate of growth, Datavault AI's ability to predict customer demand for existing and future products and to secure adequate manufacturing capacity, consumer demand conditions affecting Datavault AI's customers' end markets, Datavault AI's ability to hire, retain and motivate employees, the effects of competition on Datavault AI's business, including price competition, technological, regulatory and legal developments, developments in the economy and financial markets, and potential harm caused by software defects, computer viruses and development delays, (ii) risks related to Datavault AI's ability to realize some or all of the anticipated benefits from the Agreements, any risks that may adversely affect the business, financial condition and results of operations of Datavault AI after the completion of the Agreements, including but not limited to cybersecurity risks, the potential for AI design and usage errors, risks related to regulatory compliance and costs, potential harm caused by data privacy breaches, digital business interruption and geopolitical risks, and (iii) other risks as set forth from time to time in Datavault AI's filings with the U.S. Securities and Exchange Commission. The information in this press release is as of the date hereof and the Company undertakes no obligation to update such information unless required to do so by law. The reader is cautioned not to place under reliance on forward looking statements. The Company does not give any assurance that the Company will achieve its expectations. i View source version on Contacts Investor and Media Contacts Investors: David Barnard, Alliance Advisors Investor Relations(415) 433-3777datavaultinvestors@ Media Inquiries: Sonia Choi(844) DATA-400sonia@
Channel Post MEA
20-03-2025
- Business
- Channel Post MEA
Juniper and IBM to Simplify Enterprise Network Operations
Juniper Networks and IBM today announced plans to expand their collaboration around joint sales, marketing and product integration efforts. The companies are expected to integrate Juniper's Mist AI and IBM watsonx to address the complexities of managing IT networks, which can help improve user experiences and lower operational costs. The latest collaboration will focus on bringing Mist AI, a key part of Juniper's AI-Native Networking Platform that uses AI to optimize the E2E client-to-cloud experience across wireless, wired, SD-WAN, data center and security experiences, with IBM watsonx, IBM's portfolio of AI products designed to accelerate the impact of generative AI and drive productivity in core enterprise workflows. IBM and Juniper will work together to build upon two internal IBM projects: IBM Guest Services: a project that integrates Mist AI with IBM watsonx Orchestrate to help automate IT network support and minimize manual intervention of Wi-Fi support tickets to help resolve guest Wi-Fi network issues. a project that integrates Mist AI with IBM watsonx Orchestrate to help automate IT network support and minimize manual intervention of Wi-Fi support tickets to help resolve guest Wi-Fi network issues. IBM AskNetwork: an internal tool in development by IBM's CIO office using IBM watsonx Orchestrate to integrate with tools such as Juniper's Mist AI to help resolve network infrastructure problems and diagnose end user issues. AskNetwork is expected to simplify complex technical data into consumable, actionable insights to help enterprises optimize network performance. Juniper and IBM also plan to explore additional capabilities, such as location-based insights and diagnostics that can help drive additional value around facilities management and patient / customer user experience in industries such as healthcare and retail. 'Our collaboration with IBM represents a significant leap forward in AI-Native Networking,' said Bob Friday, Group Vice President and Chief AI Officer at Juniper Networks. 'Bringing two powerful visions for cloud AIOps in the enterprise together with Mist AI and IBM watsonx can help us showcase greater efficiency, agility and security to customers.' 'IBM is committed to harnessing the power of trustworthy AI to help businesses achieve new levels of innovation and efficiency,' said Ayal Steinberg, General Manager, Technical Sales and Client Engineering, IBM. 'Our collaboration with Juniper illustrates how ecosystem partnerships can help accelerate the adoption of AI for critical business use cases such as network management, demonstrating even greater value to enterprise customers.' 0 0
