Hitachi Vantara Recognized as a Leader and Fast Mover in GigaOm Radar for High-Performance Storage Optimized for AI Workloads
Recognition underscores the power of Hitachi iQ combined with VSP One to support AI at enterprise scale.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
New Hitachi EverFlex AI Data Hub as a Service Provides Seamless Data Integration for Smarter AI
Reducing cost and complexity of distributed data landscapes, Hitachi Vantara offers a modern data lakehouse solution with AI workbench capabilities to enhance data operations and speed AI innovation.
Sustainability in Action: How Green IT is Transforming Data Storage
As IT leaders race to keep up with the demands of cloud computing, big data and especially AI, the energy consumption and efficiency of their data centers has become a major concern. This is where the sustainability of their data storage infrastructure comes into focus. Shifting from what may have once been seen as a tactical necessity, to become a strategic imperative for meeting an organization’s operational AND environmental objectives.
Driving Innovation with NVIDIA AI Data Platform: A View from Hitachi Vantara
The rapid acceleration of AI adoption is transforming how enterprises design their data infrastructure, driving the need for robust, scalable, and energy-efficient solutions. At Hitachi Vantara, we’re building the future of AI storage by collaborating with NVIDIA to close the gap between data and AI compute. Our mission: help organizations unlock faster, smarter insights with an AI-ready data pipeline.
Meet Rising Data Challenges With Storage Modernization
Though storage systems and cloud storage services are well known, organizations should consider enhancing a handful of key areas in their storage infrastructure to prepare for the future. While some consider storage systems, management software and services to be commodities, differentiation between offerings can determine the scalability, flexibility, efficiency and resiliency of the data storage infrastructure.
Hitachi Vantara Supports DestekBank's Digital Banking Expansion with Scalable, High-Performance Infrastructure
Hitachi Virtual Storage Platform One Block delivers performance, uptime and efficiency to drive DestekBank's retail banking growth and digital transformation.
Tech, talent or trust: What's holding back AI adoption the most?
Tech, talent or trust: What’s holding back organizations from AI adoption the most? Along with exploring that question, in this short video, Practice Director for Data Management, Analytics & AI at Informa TechTarget’s Enterprise Strategy Group, Michael Leone, discusses AI adoption with Hitachi Vantara leaders, including: The video also explores exciting AI use cases, the data issues hindering AI and tips for measuring the success of your AI initiatives.
AI initiatives and obstacles: How to stay competitive
By failing to adopt AI and modern data strategies, companies risk falling behind. According to Informa TechTarget’s Enterprise Strategy Group (ESG), 86% of enterprise-class organizations are planning to invest at least $1 million in data and AI initiatives. To help your business keep up, in this video ESG’s Practice Director for Data Management, Analytics & AI, Michael Leone, explores how to build a trusted data foundation, the biggest data challenges faced by companies, and much more.
Right-sizing MS SQL Server Storage Balancing Cost and Performance
As your business grows, so does your data. And if you’re running Microsoft SQL Server, you’ve likely faced the challenge of managing storage in a way that doesn’t break the bank but keeps your applications running smoothly. It’s a balancing act that many IT professionals and business leaders struggle with daily. We hear from numerous mid-sized companies that hit a wall with their Microsoft SQL Server database.
Reducing Downtime and Addressing Skill Gaps with Services Operations Management
As enterprises continue to navigate the complexities of data management, analysts predict an increasing shift towards consumption as a service infrastructure solutions. This model offers myriad benefits – including cost savings, scalability, agility and streamlined operations – empowering enterprises to tailor their hybrid cloud data infrastructure solutions to their unique needs, paying only for what they use, thereby optimizing operational expenses.