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As we focus on the next generation of network communications, we’d be wise to remember what an expensive distraction 5G turned out to be.
Their current success and growth are thanks to AI adoption, but unsustainable costs and viable alternatives may turn enterprises away in the longer term.
Cloud AI providers brag that their generative AI and large language models are open, and enterprises are falling for it.
Unsustainable demands for AI are on the horizon. People will soon have to stop fake-caring about cloud sustainability and give a damn for real.
How many enterprises are revisiting on-premises solutions in a cloud-dominated era for better cost management, security, and performance?
Businesses are recognizing the benefits of specialized GPU clouds, general-purpose IaaS providers, and regional cloud options.
Companies suffer when cloud computing architects are not directly aligned with their business's overall goals. Let’s readjust our perspectives from purely technical.
As more enterprises leave the cloud or express real concern with rising prices, vendors must adapt to retain enterprise customers.
As so-called ‘open source’ models move to dominate the LLM landscape and artificial intelligence, we need to decide if we care.
For those who have done the real work of data modernization and preparation, AI is worth its high price tag.
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