Delivering securely on data and AI strategy
Most organizations feel the imperative to keep pace with continuing advances in AI capabilities, as highlighted in a recent MIT
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Accelerating VMware migrations with a factory model approach
In 1913, Henry Ford cut the time it took to build a Model T from 12 hours to just over
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Moving toward LessOps with VMware-to-cloud migrations
Today’s IT leaders face competing mandates to do more (“make us an ‘AI-first’ enterprise—yesterday”) with less (“no new hires for
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Aligning VMware migration with business continuity
For decades, business continuity planning meant preparing for anomalous events like hurricanes, floods, tornadoes, or regional power outages. In anticipation
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Designing digital resilience in the agentic AI era
Digital resilience—the ability to prevent, withstand, and recover from digital disruptions—has long been a strategic priority for enterprises. With the
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Scaling innovation in manufacturing with AI
Manufacturing is getting a major system upgrade. As AI amplifies existing technologies—like digital twins, the cloud, edge computing, and the
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Networking for AI: Building the foundation for real-time intelligence
The Ryder Cup is an almost-century-old tournament pitting Europe against the United States in an elite showcase of golf skill
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Realizing value with AI inference at scale and in production
Training an AI model to predict equipment failures is an engineering achievement. But it’s not until prediction meets action—the moment
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Improving VMware migration workflows with agentic AI
For years, many chief information officers (CIOs) looked at VMware-to-cloud migrations with a wary pragmatism. Manually mapping dependencies and rewriting
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