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How cloud adoption solves some of IT’s biggest headaches

CIO

In an era when artificial intelligence (AI) and other resource-intensive technologies demand unprecedented computing power, data centers are starting to buckle, and CIOs are feeling the budget pressure. There are many challenges in managing a traditional data center, starting with the refresh cycle.

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No refactoring required: A painless path to cloud adoption

CIO

Cloud-based workloads can burst as needed, because IT can easily add more compute and storage capacity on-demand to handle spikes in usage, such as during tax season for an accounting firm or on Black Friday for an e-commerce site. Retain workloads in the data center, and leverage the cloud to manage bursts when more capacity is needed.

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What to expect from AI in the enterprise in 2025

CIO

As AI offerings from cloud providers such as Microsoft Azure, AWS, and Google Cloud develop in 2025, we can expect to see more competitive pricing that could help keep a check on costs for enterprises. However, this will depend on the speed at which new AI-ready data centers are built relative to demand.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud.

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How the C-Suite Can Champion Sustainability Across the Enterprise

CIO

Cloud is key to enabling and accelerating that transformation,” said Justin Keeble, managing director of global sustainability at Google Cloud. “As As the cleanest cloud in the industry, every one of our customers immediately transforms their IT carbon footprint the moment they operate on Google Cloud.

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What is Oracle’s generative AI strategy?

CIO

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. While AWS, Google Cloud, Microsoft, and IBM have laid out how their AI services are going to work, most of these services are currently in preview.

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Making the shift from computation to cognition

CIO

Once perceived as an abstract concept, Artificial Intelligence (AI) and generative AI (genAI) have become more normalized as organizations look at ways to implement them into their tech stack. NVIDIA H100 GPU and Dell APEX also provide 4x more cost-effective inferencing compared to the public cloud over a three-year period.