Hitachi Vantara unveils Hitachi EverFlex AI Data Hub as a Service, representing a fully managed, all-in-one infrastructure consumption service aiming to address AI data preparation challenges.
“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 of global Services at Hitachi Vantara. “Ultimately, this solution empowers organisations 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.”
Modern data lakehouse
It provides a modern data lakehouse with integrated workbench capabilities for AI, business intelligence (BI), and data needs. It aims to help 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, feeding their AI and BI initiatives with complete and timely data and unlocking faster insights and better business outcomes.
Data governance and quality
Built on Virtual Storage Platform One (VSP One), Hitachi EverFlex AI Data Hub as a Service claims to enhance data completeness, accuracy and compliance across the entire data ecosystem. It claims to integrate data in real-time without duplication, thereby improving data governance and quality.
It also claims to enable the rapid deployment of AI and machine learning, accelerating data pipelines and providing a unified platform for both data and AI operations.
Bringing together Hitachi EverFlex STaaS, VSP One, and iQ technologies with Cisco-powered Hybrid Cloud IaaS solutions, which include GPU Compute and Networking as a Service, provides customers with benefits such as unified data management, comprehensive AI data infrastructure, and AI data integration and preparation with modern-as-a-service data lakehouse management.
