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For years, VMware was the default answer for enterprise virtualization. It was stable, familiar, and deeply embedded in the infrastructure decisions of thousands of organizations worldwide. But at this point, it’s no secret that this calculus has changed. VMware licensing costs surged, and product bundles were restructured. Organizations that built their infrastructure strategie...

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AI and data-intensive workloads are moving beyond centralized clusters into thousands of distributed systems, where uptime, auditability, and lifecycle governance matter as much as performance. Yet enterprise architecture challenges continue unabated, not least of which is updating complex estates while controlling cost, reducing technical debt, and managing risk. Enterprise Lin...

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By Paul Miller, CTO, Intelligent Systems, Software and Services, Aptiv As explained in my earlier blog post “ Five Hard Problems Enterprises Face When AI Leaves the Data Center,” edge AI adoption forces enterprises to rethink how intelligence, data, infrastructure, and operations interact across a system’s full lifecycle. The transition from data center AI to edge AI mirrors ear...

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By Paul Miller, CTO, Intelligent Systems, Software and Services, Aptiv Artificial intelligence has thrived in corporate data centers for the past several years. Models have been trained on vast datasets, inference has run on elastic infrastructure, and failures have been measured in terms of degraded recommendations or lower engagement metrics. That environment has shaped how en...

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Increasingly, countries are laying claim to companies’ customer data. In response, companies are turning to sovereign clouds. Every country is responsible for protecting its citizens. One element in that effort is protecting data about its citizens. In recent years, countries have passed laws that require data about their citizens to be kept within the country, a concept known a...

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