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H2O.ai, Vast Data To Unlock Domain-specific Insights With Agentic AI

  • news2u
  • Mar 19
  • 1 min read



KUALA LUMPUR, March 19 (Bernama) -- Leader in agentic artificial intelligence (AI), H2O.ai, and VAST Data, known for its AI-driven data platform, are joining forces to bring generative AI and predictive AI to enterprises managing vast datasets.


This joint solution combines VAST Data’s infrastructure for storing and managing all data types (video, audio, documents, sensor data) with H2O.ai’s enterprise h2oGPTe platform to deliver retrieval-augmented answers, powerful model fine-tuning options, and grounded insights for enterprise users across on-premise, airgapped, and private cloud deployments.


In a statement, H2O.ai Founder and Chief Executive Officer, Sri Ambati emphasised that its solution, in combination with VAST Data, enables businesses to harness agentic AI’s agility to revolutionise modern workflows, making enterprises more responsive and data-driven.


Meanwhile, VAST Data Vice President, Global Technology Alliances, John Mao highlighted how the collaboration enables enterprises to leverage real-time intelligence from vast datasets, further accelerating AI-driven automation and decision-making with unprecedented efficiency and accuracy.


The integration empowers enterprises to create a range of agentic AI applications, from digital assistants to procurement analytics, all while minimising the complexity of managing large language models and multimodal data inputs.


By combining H2O.ai’s h2oGPTe with the VAST Data Platform, enterprises benefit from H2O.ai’s conversational user experience, which enables a natural language interface for powerful retrieval, code execution, tools, APIs, and self-critique, resulting in grounded, domain-specific responses.


The h2oGPTe platform converges both generative and predictive capabilities into one agentic interface, supporting proprietary or open-source large language models for domain-specific insights on private data.


Additionally, VAST Data’s exabyte-scale data platform connects structured and unstructured data sources for AI inference that remains both comprehensive and precise.


-- BERNAMA

 
 
 

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