Bye-Bye Public Cloud: Enterprises Take Back Control of AI

Bye-Bye Public Cloud: Enterprises Take Back Control of AI

A significant shift is occurring in how organizations approach AI workloads, as many CIOs are reevaluating their reliance on public cloud services. With rising costs and escalating concerns about data privacy, companies are increasingly favoring private cloud and on-premises solutions for their AI strategies. A recent survey indicates that 67% of enterprise leaders plan to move some AI data to non-cloud environments within the next year, reflecting a growing need for cost predictability and improved security.

The video highlights the trend toward private cloud spending, which is outpacing public cloud investments. Organizations running consistent AI workloads can achieve substantial cost savings by investing in dedicated GPU resources rather than relying on rental models in public clouds. This shift signifies a broader strategy that prioritizes ownership and control over sensitive data, as many organizations navigate regulatory compliance challenges.

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5 Unpopular Cloud Opinions (That Are Actually True)

5 Unpopular Cloud Opinions (That Are Actually True)

David Linthicum challenges the feel-good narratives that dominate cloud conversations and lays out five opinions that many teams avoid saying out loud. He argues that cloud repatriation is not a failu...

9 Mars 12min

The Slow Death of OpenAI: Nobody Wants to Admit This

The Slow Death of OpenAI: Nobody Wants to Admit This

OpenAI helped kick off the AI revolution, but behind the hype the numbers tell a much darker story. In this video, we break down how a company that once looked untouchable is now burning staggering am...

3 Mars 10min

The 5 Fundamental Cloud Mistakes AWS, Microsoft, and Google are Making Today

The 5 Fundamental Cloud Mistakes AWS, Microsoft, and Google are Making Today

Cloud didn't fail—cloud providers did. AWS, Microsoft, and Google sold "simplicity," then normalized pricing that needs a spreadsheet degree, architectures that punish small mistakes, and service cata...

2 Mars 8min

Hyperscalers Are Panicking: Neoclouds Are Taking Their AI Business

Hyperscalers Are Panicking: Neoclouds Are Taking Their AI Business

Neoclouds are a new wave of GPU-first cloud providers built specifically for AI training and inference, offering a focused alternative to hyperscalers like AWS, Azure, and Google Cloud. Instead of opt...

26 Feb 12min

AI Everywhere, Adoption Nowhere: Microsoft's Copilot Epic Fail

AI Everywhere, Adoption Nowhere: Microsoft's Copilot Epic Fail

Microsoft Copilot arrived as an AI layer across Windows, Microsoft 365, and cloud consoles, but many users experienced it less as a breakthrough and more as another interface demanding attention. In W...

24 Feb 14min

Crypto Cloud Mining Scams EXPOSED!

Crypto Cloud Mining Scams EXPOSED!

A surge in fraudulent cloud mining schemes is pulling in unsuspecting investors with promises of guaranteed, sky-high returns—claims that regulators stress are not just too good to be true, but techni...

23 Feb 11min

The Executives Who Botched Cloud Should've Been Fired—So Why Are They Leading AI?

The Executives Who Botched Cloud Should've Been Fired—So Why Are They Leading AI?

In this video, David Linthicum delivers a blunt critique of how large enterprises mishandled cloud adoption and are now repeating the same mistakes with AI. He explains that many IT leaders treated cl...

16 Feb 16min

RSAC 2026: The "Securing AI" Pivot Is Here (Agentic AI, MCP, Shadow AI)

RSAC 2026: The "Securing AI" Pivot Is Here (Agentic AI, MCP, Shadow AI)

RSAC 2026 is shaping up to be the year cybersecurity stops talking about "using AI" and starts obsessing over securing it. In this video, we break down the top conference trends emerging from early se...

13 Feb 36min

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