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Home»Interviews»H2O.ai and VAST Knowledge Flip Huge Enterprise Datasets into Area-specific Insights with Agentic AI Answer
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H2O.ai and VAST Knowledge Flip Huge Enterprise Datasets into Area-specific Insights with Agentic AI Answer

Editorial TeamBy Editorial TeamMarch 17, 2025Updated:March 17, 2025No Comments3 Mins Read
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H2O.ai and VAST Knowledge Flip Huge Enterprise Datasets into Area-specific Insights with Agentic AI Answer
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Built-in resolution merges generative and predictive AI at exabyte scale, delivering retrieval-augmented solutions, LLM fine-tuning, and domain-specific insights throughout on-premise, airgapped, and cloud environments

H2O.ai, the world’s main agentic AI, and VAST Knowledge, the AI knowledge platform firm, are teaming as much as convey agentic generative AI and predictive AI to enterprises’ exabyte-scale datasets. This joint resolution combines VAST Knowledge’s fashionable infrastructure for storing and managing all knowledge varieties (video, audio, paperwork, sensor knowledge) with H2O.ai’s enterprise h2oGPTe platform to ship retrieval-augmented solutions, highly effective mannequin fine-tuning choices, and grounded insights for enterprise customers throughout on-premise, airgapped, and personal cloud deployments.

Newest Learn: Taking Generative AI from Proof of Idea to Manufacturing

By combining H2O.ai’s h2oGPTe with the VAST Knowledge Platform, enterprises profit from:

  1. Agentic AI Interface – H2O.ai’s conversational person expertise permits a pure language interface for highly effective retrieval, code execution, instruments, APIs, and self-critique—leading to grounded, domain-specific responses.
  2. A Unified Generative and Predictive AI Layer – h2oGPTe converges generative and predictive capabilities in a single agentic interface, supporting proprietary or open-source giant language fashions for domain-specific insights on personal knowledge.
  3. Scalable, Context-Wealthy Insights – VAST Knowledge’s exabyte-scale knowledge platform connects structured and unstructured knowledge sources (video, audio, paperwork, sensor knowledge) for AI inference that is still each complete and exact.
  4. Versatile Deployment Choices – Containerized on Kubernetes, the mixed resolution could be operated on-premises, in airgapped settings, or in personal clouds—wherever the GPUs reside.

“h2oGPTe the world’s #1 Agent AI with VAST knowledge platform makes the proper platform for sovereign AI. Agentic AI is bringing unimaginable agility to companies and fashionable automated workflows are remodeling SaaS. With the accuracy of H2O.ai and prompt entry to any quantity and number of knowledge from VAST, enterprises can ship real-time selections and turn into AI superpowers,” mentioned Sri Ambati, Founder and CEO of H2O.ai.

With this mixed providing, enterprises can construct agentic AI functions—from digital assistants, name middle automation, and Doc AI to AI-driven procurement analytics and IT help—on high of the VAST Knowledge Platform. The result’s rapid worth from enterprise-scale datasets, with low overhead for managing the complexity of enormous language fashions, specialised area fashions, and multi-modal inputs reminiscent of photos and movies.

Additionally Learn: How AI may also help Companies Run Service Centres and Contact Centres at Decrease Prices?

“As AI turns into the inspiration of recent enterprise innovation, organizations want an information platform that may gasoline real-time intelligence with out limitations,” mentioned John Mao, Vice President, World Expertise Alliances at VAST Knowledge. “The VAST Knowledge Platform was purpose-built to deal with exabyte-scale datasets, enabling companies to seamlessly unify and course of structured and unstructured knowledge inside a single, high-performance AI pipeline to energy the subsequent period of clever automation. By collaborating with H2O.ai, we’re empowering enterprises to construct agentic AI functions, extract deeper insights, make autonomous selections, and speed up AI-driven workflows with unmatched effectivity, accuracy, and scale.”

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]



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