Data center teams are skilled at solving familiar problems such as storage outages, missed forecasts, and late refresh cycles. These are known quantities. Teams have playbooks for them. But 2026 has brought a different kind of pressure. After years of enterprise AI investment concentrated almost entirely on model training, the industry has crossed a threshold: the workload that now defines AI infrastructure isn’t building models. It’s running them. Continuously. At scale. Every day.
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By Sunitha Rao
AI runs on data, and global enterprises are awash with petabytes of data. That might suggest that it’s easy for companies to advance their businesses through the power of AI. Yet enterprise data is often fragmented across departmental and technological silos, and that data is often inconsistent, ungoverned and disconnected from mission-critical systems. As a result, many AI initiatives stall before they can deliver operational value, and the root cause is rarely the model.
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By Andy Gremett
Hybrid cloud was meant to simplify IT — but for many organizations, it has done the opposite. As data spreads across on-premises systems, multiple clouds and edge environments, complexity (not flexibility) has become the defining challenge. With AI initiatives now dependent on distributed, high-quality data, this complexity directly impacts performance, governance, and cost. The lack of a unified view and thereby management of data is the biggest issue spurred by complexity.
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By David A. Chapa
For years, enterprise infrastructure treated security, storage, networking, and compute as mostly separate operational layers. Disruptive technologies tend to blur those lines. We saw this with backup and recovery, virtualization, and now with AI.
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By Jeb Horton
Modern infrastructure transformation should accelerate innovation — not add complexity. As organizations modernize to support mission-critical workloads, hybrid architectures, AI data activation, and third-party environments, they need flexibility, visibility, and trust. That’s why Hitachi Vantara is simplifying infrastructure acquisition and management by delivering an outcome-driven experience for the data center.
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By David A. Chapa
There is no shortage of ambition when it comes to AI. It shows up in every boardroom conversation, every strategy document, every budget cycle where AI is no longer a novelty project but a line item with real expectations attached to it. Yet, very few organizations actually execute AI in a consistent, repeatable way that’s tied to reliable business outcomes. The problem with readiness is that we tend to treat it like a milestone: something you reach and then move on from.
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By Angela Romberg
The data storage industry is constantly pushing boundaries. We demand speed, efficiency, and reliability. But how do we truly measure the distance between “good enough” and “mission-critical”? In our world, that distance is measured in 9s. And the cost is certainty. You've likely heard your cloud providers talk about the industry standard for availability. For many, this has become a synonym for “five 9s” (99.999% uptime). On paper, that sounds impressive, right?
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By Dinesh Singh
As enterprises navigate rising virtualization costs and increasing infrastructure complexity, many are rethinking their approach to modernization. One organization leading this transformation is Alior Bank, a forward-looking financial institution that successfully modernized its IT environment to improve agility, resilience, and cost efficiency.
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By Andy Gremett
For the modern IT leader, managing a hybrid cloud often feels like navigating a series of operational constraints rather than executing a strategy. You’re caught between the board’s demand for immediate AI results with disparate data silos, rising egress costs, inflexible consumption models, overworked employees, and the looming impact of hardware refresh cycles. There’s a constant friction between the agility of the cloud and the resilience of your on-premises core.
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By Melissa Zelyez
Enterprises are facing one of the most significant infrastructure pivots in a decade. Between rising AI adoption, escalating data‑sovereignty requirements, and the industry‑wide shift away from legacy virtualization stacks, organizations are under pressure to move faster—without compromising resilience, control, or budget. Recent industry data underscores this urgency.
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By Hitachi Vantara
Simple. Secure. Sustainable. VSP One Block High End delivers extreme performance, resilience, and security—without complexity or costly upgrades. Transform your business and drive what's next with enterprise-grade storage built for the AI era.
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By Hitachi Vantara
Modernization has reached a tipping point. For organizations running mission-critical workloads—including increasingly demanding AI-driven applications—the traditional approach often adds risk instead of reducing it. But does modernization have to mean costly investments, downtime, and uncertainty? Not anymore.
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By Hitachi Vantara
How can you make data complexity a thing of the past? How can your business shift from data chaos to data-driven innovation?
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By Hitachi Vantara
We build resilient data infrastructures the world’s innovators rely on. Together, we power what’s possible and create real-world impact through data.
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By Hitachi Vantara
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.
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By Hitachi Vantara
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.
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By Hitachi Vantara
Discover how to get faster recovery and more efficient Kafka operations with VSP One File: https://www.hitachivantara.com/en-us/blog/real-time-redefined-rethinking-kafka-potenti
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By Hitachi Vantara
From modern data storage systems, intelligent data management and AI-powered hybrid cloud solutions – we build the data infrastructure the world relies on.
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By Hitachi Vantara
Resilience was never “mission-optional.” It’s always been mission-critical. Foundational. When your data has to work – all the time, every time – it has to be on Hitachi Vantara.
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By Hitachi Vantara
In this video, we’ll share some exciting information about the newly released Thin Image Advanced.
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By Hitachi Vantara
Data is your most valuable asset, and you need to make the most of it. This e-book explains how intelligent data governance solutions that extend across your private and public cloud data footprint can help drive more business value from your data and simplify compliance for your organization.
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By Hitachi Vantara
TABB Group Perspective - Achieving Competitive Advantages with Innovative Data Management Strategies
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By Hitachi Vantara
Download this e-book to discover the most common big data use cases that organizations are implementing.
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By Hitachi Vantara
Read this ebook to know about common tactical and strategic mistakes to avoid when implementing Hadoop, which are identified by executives and IT teams.
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By Hitachi Vantara
Read this white paper to see how Hitachi Vantara introduces predictive maintenance in the smart rail sector. Hitachi's IoT solutions emphasize railway engineering elements, IT and data-mining, predictive and prescriptive analytics and rail as a service.
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By Hitachi Vantara
Go through this whitepaper to know about the data compliance challenges faced by companies and key success factors for a robust information governance program.
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By Hitachi Vantara
This guide provides an overview of some of the performance and scalability capabilities of the Pentaho Business Analytics platform.
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By Hitachi Vantara
Read this whitepaper to understand in detail the potential pitfalls of a 'build' approach and why a 'buy' approach makes the best business sense for most embedded analytics deployments.
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By Hitachi Vantara
This document is intended to help product leaders cover all the bases during their embedded analytics evaluation and evaluation guidelines are categorized into 6 areas.
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By Hitachi Vantara
Go through this data management guide about eight essential checklists for managing the analytic data pipeline to ensure your data is analytics-ready when business users need it.
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Pentaho data integration and analytics at Hitachi Vantara is an open-sourced based, enterprise-class platform for big data deployments. The unified data integration and analytics platform is comprehensive, completely embeddable and delivers governed data to power any analytics in any environment.
Pentaho has enabled early big data and emerging IoT deployments, making our customers some of the most innovative in the industry – connecting people, things, and data to drive their digital transformation.