Author: Nichelle N
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Everyone Wants AI. Is IT Infrastructure Ready for It?
The technology may be moving faster than the systems supporting it. AI adoption is accelerating across the enterprise, but implementing AI is proving to be about much more than selecting a model or purchasing access to an AI platform. Organizations also need the infrastructure to support it. That creates an uncomfortable question for IT leaders:…
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New on Substack: Cloud Migration Isn’t Over—It’s Entering a New Phase
Cloud computing continues to evolve beyond the initial wave of migration. Today, organizations are focusing on optimization, resilience, security, and preparing their infrastructure for emerging technologies like artificial intelligence. In my latest Substack article, I explore why cloud migration is no longer the finish line—it’s the foundation for what’s next. If you’re interested in enterprise…
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AI’s Next Challenge: Infrastructure over Computing Power
The Next AI Bottleneck Isn’t Computing Power Artificial intelligence continues to dominate technology discussions, but the infrastructure required to support large-scale AI deployments is becoming an increasingly important topic. In my latest article, I explore how data centers, networking, energy requirements, and infrastructure planning are emerging as critical factors in the future of AI. Read…
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Why AI Infrastructure Is Becoming a Boardroom Conversation
By Nichelle Nemo Artificial intelligence is no longer just a technology discussion. Increasingly, it is becoming a business discussion. Over the past few years, organizations have invested heavily in cloud computing, automation, and digital transformation initiatives. Now, many of those same organizations are evaluating how artificial intelligence can improve productivity, streamline operations, and create new…
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Energy, AI, and Data Centers: Infrastructure Choices That Shape the Future
Artificial intelligence is no longer a peripheral capability layered onto existing systems. It is rapidly becoming a core driver of enterprise transformation, reshaping how organizations design, deploy, and scale infrastructure. Behind every AI model, training cycle, and inference request sits a physical foundation: data centers powered by vast energy resources. As AI workloads grow more…