Datavault AI Partners with IBM watsonxai to Enhance Data Monetization
Datavault AI Inc. expands commercialization of its AI agents DataScore and DataValue built with IBM watsonx.ai, with IBM providing engineering support to accelerate client impact.
Datavault AI Inc., a leader in AI-driven data experience, has announced the expanded commercialization of its flagship AI agents—DataScore and DataValue—developed in collaboration with IBM watsonx.ai. IBM has also committed AI engineering talent and technical expertise over multiple years to help Datavault scale its offerings for clients.
Key Highlights
- The integration aims to streamline enterprise financial modeling, risk assessment, and pricing strategies across on-premises, cloud, and hybrid environments.
- Datavault AI is a Platinum partner in IBM’s Partner Plus program, with plans to collaborate on deployment, testing, and development to accelerate AI adoption in industries like finance, healthcare, sports, entertainment, and government.
- IBM’s support includes AI engineers and development expertise to enhance the value of watsonx.ai within Datavault’s solutions.
Executive Insights
"We believe this is a strategic inflection point for Datavault AI and marks a significant milestone in our enterprise-scale commercialization roadmap. By integrating IBM watsonx.ai at a technical level and collaborating closely with IBM, we’re positioned to scale our data monetization platform globally," said Nathaniel Bradley, CEO of Datavault AI.
"Bringing our resources to support Datavault’s mission will help drive the data monetization that companies of all sizes can take advantage of. Leveraging IBM’s platforms with Datavault’s innovations presents a compelling value proposition to customers worldwide," added Biz Dziarmaga, head of Americas AI partnerships at IBM.
Platform Enhancements
Datavault AI’s patented Data Vault Web 3.0 platform has been enhanced with completed integrations, enabling secure, compliant, and scalable data monetization across industries. The platform continues to evolve with advancements in data indexing, perception, and monetization capabilities.
For more information, visit Datavault AI.
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Dr. Sarah Chen
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A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.