The U.S. Navy’s exploration of using a nuclear-powered aircraft carrier as a temporary power source may seem far removed from enterprise IT. In reality, it highlights a growing challenge facing organizations everywhere: supporting the infrastructure demands of artificial intelligence. As AI adoption accelerates, data, storage, resilience, and energy are becoming increasingly interconnected.
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The Six Stages of a Modern Data Strategy
AI, cyber resilience, and modernization initiatives all depend on a common foundation: data. Learn the six stages of a modern data strategy and how organizations can better manage, protect, govern, modernize, scale, and optimize their information for long-term success.
Read MoreWhy Data Strategy Has Become the Foundation for AI, Cyber Resilience, and IT Modernization
Artificial intelligence, cyber resilience, and IT modernization all depend on one critical asset: data. Learn why organizations must rethink how they manage, protect, govern, and access information to support future growth, reduce risk, and maximize the value of technology investments.
Read MoreManaging Data Growth Without Compromising Backup Security
Data growth is accelerating across federal and enterprise environments, exposing gaps in traditional backup strategies. As complexity increases, so does risk. Discover how modern, automated backup solutions help organizations strengthen security, reduce operational burden, and maintain control over critical data.
Read MoreJeskell Recognized on CRN’s 2026 Tech Elite 250 for Technical Excellence
Jeskell Systems has been named to CRN’s 2026 Tech Elite 250, recognizing deep technical expertise in delivering secure, high-performance data infrastructure solutions.
Read MorePreparing Federal Data Centers for 2026: AI, Power Constraints, and the Infrastructure Decisions That Matter Now
Federal AI adoption is accelerating toward 2026, bringing new demands on data centers, power availability, and storage infrastructure. Learn how scalable, resilient data lifecycle management helps agencies prepare.
Read MoreFrom Generic AI to Enterprise Intelligence: Building the Data Foundation AI Needs
Many AI initiatives struggle not because of the models, but because enterprise data is fragmented and inaccessible. This blog explores how a unified, intelligent data foundation helps organizations unlock more accurate, trusted AI outcomes and accelerate AI adoption at scale.
Read MoreIT in 2026: Why Resilience, Scale, and Data Discipline Now Define Modern Infrastructure
2026 has arrived, and IT leaders are no longer planning for change. They are operating inside it. From AI-driven data growth to escalating cyber risk, modern infrastructure must now be resilient, scalable, and governed by design. This post explores why foundational IT decisions matter more than ever and how organizations can keep pace in an increasingly complex world.
Read MoreIBM Focuses on Execution as Its Quantum Strategy Comes Into View
IBM’s new quantum strategy emphasizes execution over experimentation. With advances like the Nighthawk processor and early exploration of distributed quantum systems, IBM is signaling that quantum readiness is an infrastructure decision organizations must begin addressing now.
Read MoreModernizing Your Data Lifecycle for the Age of AI: Building Infrastructure That Can Keep Up
AI driven workloads are exposing the limits of legacy infrastructure. Learn why a modernized data lifecycle is essential for performance, scalability, and long term resiliency, and how Jeskell helps organizations build the foundation needed for future growth.
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