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 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 MoreStrategies to Unlock the AI Multiplier Effect Through Modern Data and Infrastructure
The 2025 IBM CDO Study reveals that organizations boosting data confidence and foundational infrastructure are seeing exponential returns from AI. Learn how the right storage, governance and data lifecycle strategy can accelerate those outcomes.
Read MoreStrategies to Overcome AI Implementation Challenges in 2026
As organizations plan for 2026, many AI initiatives still struggle due to fragmented data, limited infrastructure performance, and gaps in governance. Jeskell Systems outlines strategies that simplify data, strengthen resilience, and unlock real value from AI investments.
Read MoreA Season of Gratitude: Reflecting on 2025 & Looking Ahead Together
Jeskell Systems reflects on a year of progress and perseverance across Federal and commercial clients, offering gratitude during the holiday season and forward-looking insights as agencies prepare for 2026 modernization priorities.
Read MoreUnlocking the Power of IBM watsonx.data Intelligence for Enterprise Data Governance and Innovation
IBM watsonx.data intelligence offers a unified solution for data governance, quality, lineage, and sharing… empowering enterprises to securely manage their data, accelerate innovation, and make confident, data-driven decisions.
Read MoreWhat’s Haunting Your AI Strategy? 5 Infrastructure Nightmares to Avoid
This Halloween, don’t let outdated systems creep into your AI plans. Jeskell outlines five spooky infrastructure problems that can derail AI performance and scale. Learn how IBM Storage solutions can help you face your data fears and build AI you can trust.
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