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Hitachi Vantara Unlocks Data-Driven Innovation Through an Edge-to-Cloud Data Fabric Built on Its Intelligent DataOps Portfolio for Enterprise and Industrial Customers

Radhika Krishnan

 Hitachi Vantara, the digital infrastructure, data management, analytics, and digital solutions subsidiary of Hitachi Ltd. (TSE: 6501), introduced new Lumada DataOps capabilities for automated, AI-driven data operations for all enterprise customers and Lumada Industrial DataOps, providing advanced analytics capabilities for industrial use cases. 

Data sprawl and governance have become more difficult as data becomes increasingly distributed across the data center, edge, hybrid, and public cloud infrastructure. This complexity can hinder an organization’s ability to turn data into business value. In a recent DataOps Survey by 451 Research, data privacy, compliance, and data access and preparation are top priorities for data-driven organizations. 

“Unlike traditional data management solutions that lock customers into proprietary technologies, the Lumada DataOps and Lumada Industrial DataOps portfolio products augment any ecosystem to manage and govern data from anywhere,” said Radhika Krishnan, Chief Product Officer at Hitachi Vantara. “No matter where our clients’ data lives, we help them discover, analyze, govern and monetize it through Lumada DataOps in addition to data and analytics consulting services, helping clients propel their business with better data insights.” 

IT and OT Data Convergence for Digital Industrial Operations 

Hitachi Vantara’s new Lumada Industrial DataOps portfolio enables real-time insights and outcomes that power critical operations to be more predictable and manageable. It accelerates IT and OT data convergence by building a data fabric for analytic solutions from edge to multi-cloud. Lumada Industrial DataOps IIoT software automates data pipeline delivery across OT and IT sources, feeding industrial AI and ML models for predictive maintenance and operations optimization. Capabilities of the new Lumada Industrial DataOps portfolio include:  

  • IIoT Core – Accelerate and scale operation application deployment with a complete IIoT data platform including Core, Gateway, Digital Twins, and Machine Learning Services. 
  • IIoT Analytics – Simplify AI and ML solutions creation through toolkits that simplify delivery through packaged Digital Twins with pre-trained ML models. 

Michael Tschanz, director of Design & Engineering Technology & Analysis at Disney “In order to maintain our complex ride systems, we are constantly capturing and ingesting data from multiple touchpoints throughout the ride, striving to optimize efficiency in our systems and continuing to keep the attraction experience as seamless as possible,” “One project I personally think is the coolest thing we’ve worked on together this year is our development of the Digital Twin analysis technology,” Digital Twin simulations help us solve the challenge of doing analysis on certain areas of our attractions where we aren’t able to put sensors. This innovation will result in even higher levels of analytic accuracy.” 


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