Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd. (TSE: 6501), today introduced Hitachi EverFlex AI Data Hub as a Service. The new AI Data Hub as a Service offering represents a fully managed, all-in-one infrastructure consumption service addressing AI data preparation challenges by providing a modern data lakehouse with integrated workbench capabilities for AI, business intelligence (BI), and data needs.
Amid the boom of AI adoption, organizations are tasked with intricate data management tasks despite limited resources and increasingly complex data environments. Hitachi Vantara’s recent State of Data Infrastructure Report found 98% of organizations are using more than one storage platform for their data, and over half (57%) store data on all four types of platform: on-premises, private cloud, hybrid cloud, and public cloud, creating a litany of AI data preparation challenges. Research also indicates that up to 80% of AI and data projects fail, and greater than $100 billion per year is lost due to difficulties with AI data preparation, enablement and cost of operations.
Offering a modern data lakehouse for accessing data anywhere, the Hitachi EverFlex AI Data Hub as a Service helps customers better manage AI workloads by paying for only the infrastructure they need with the security, control and cost savings of hybrid cloud infrastructure. Designed to support robust data quality and governance, customers can leverage the service to enable a single view of enterprise data to feed their AI and BI initiatives with complete and timely data, unlocking faster insights and better business outcomes.
“Through this new offering, we’re helping customers integrate, prepare and gain more control over relevant data despite the ensuing boom of unstructured data created by AI,” said Jeb Horton, senior vice president, Global Services at Hitachi Vantara. “Ultimately, this solution empowers organizations to meet their data where it is, accelerating AI innovation and experimentation, delivering real-time insights, and significantly reducing the cost and complexity of managing today’s distributed data landscape.”
Hitachi VSP One Storage Innovation and Cisco-powered Hybrid Cloud Infrastructure in partnership with Zetaris
Built on Virtual Storage Platform One (VSP One), Hitachi EverFlex AI Data Hub as a Service helps enhance data completeness, accuracy and compliance across the entire data ecosystem by integrating data in real-time without duplication, emphasizing data governance and quality at the source. The AI Data Hub also helps address cost inefficiencies and technical barriers to analytics and BI by enabling rapid AI and machine learning deployment to accelerate data pipelines and provide a unified platform for both data and AI operations.
By bringing together Hitachi EverFlex STaaS, VSP One and iQ technologies with Cisco Powered Hybrid Cloud IaaS solutions containing GPU Compute and Networking as a Service, customers benefit from:
- Unified Data Management: VSP 360 offers a unified data management software platform that supports block, file, object and software-defined storage infrastructures. It orchestrates and automates data services, manages data policy compliance, and provides AIOps observability for predictive data infrastructure insights. VSP 360 elevates the VSP One data services by focusing on unified control, observability and management of hybrid cloud data infrastructures.
- Comprehensive AI Data Infrastructure: Hitachi iQ provides the necessary infrastructure for AI and analytics workloads, including GPU servers, high-speed storage, and networking components to form a comprehensive AI infrastructure with integrated systems for AI and analytics workloads. It emphasizes data governance, security, and quality, and offers flexible deployment options.
- AI Data Integration and Preparation with a Modern as a service Data Lakehouse management: With Zetaris modern lakehouse for AI software, the EverFlexAI Data Hub as a Service enables real-time connectivity to diverse data sources and performs federated analytics for data in place, emphasizing data governance and quality at the source, reducing cost inefficiencies and technical barriers to analytics and business intelligence. The service accelerates data pipelines, enabling rapid AI and machine learning deployment, and provides a unified platform for AI, BI, and data operations.
