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BREAKING ANALYSIS
Nvidia, AI factories and the transition to accelerated computing
The market is trying to price a transition it hasn’t fully internalized. It sees Nvidia Corp.’s market cap with a five-handle and assumes the valuation is too high to grow further. We believe that’s the wrong mental model and it underestimates the market potential. Though the shift underway resembles the RISC-to-x86 transition, it is far ...
Three insights you might have missed from theCUBE’s coverage of Appian World
Agentic AI is already becoming a common part of how enterprises operate. But getting real value from AI depends on how well it fits into a company’s existing governance and compliance processes, especially in highly regulated industries. Process-centric AI describes an architectural approach in which businesses integrate agentic AI into existing workflows from the ground ...
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When well-behaved agents trigger disaster
It’s 2:17 a.m., and your application monitor flags elevated database latency. Before your on-call engineer finishes reading the alert, three agents have already responded. The performance agent doubles the database capacity. The cost agent, seeing what appears to be overprovisioning, starts consolidating database instances. The routing agent reroutes traffic through the database tier. Each decision ...
Sovereign cloud reshapes enterprise AI deployment strategies
Enterprises are entering a new phase of cloud adoption where flexibility, control and performance are no longer trade-offs but requirements. As AI workloads become more distributed and data-intensive, organizations are rethinking traditional SaaS-first strategies in favor of hybrid and sovereign cloud models that bring compute closer to data while maintaining operational consistency. At the same ...
Three insights you might have missed from theCUBE’s coverage of Google Cloud Next
The race for AI dominance is about more than which model will reign supreme. The real action is happening underneath the surface, where hyperscalers such as Google LLC are focused on the infrastructure and the data pipelines that models run on — especially as agentic AI infrastructure becomes the true battleground for enterprise scale. In ...
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AI exposes attacks traditional detection methods can’t see
Most discussions about artificial intelligence security are focused on what models might do wrong. The more urgent issue is what our detection systems still cannot see — and side-channel attacks are making that gap visible. Side-channel attacks gather information or interferes with a program’s execution by targeting physical factors such as power consumption, electromagnetic emissions ...
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The quiet erosion of agency in the age of AI
Enterprises are moving fast to embed artificial intelligence into everything from customer interactions to decision-making. The benefits are undeniable: speed, efficiency and scale. The danger isn’t necessarily sudden or dramatic. It’s quieter, more gradual, invisible and easy to justify along the way: It’s the slow loss of agency inside the company. A company loses agency ...
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Why agentic AI governance is falling short – and what we can do about it
Agentic artificial intelligence misbehavior is reaching epidemic proportions. Today’s AI governance solutions aren’t stopping the madness. We need to rethink our entire approach to AI governance. Even though agentic AI is still nascent, many of the AI agents in production today are wreaking havoc. From deleting production databases (and their backups!) to lying and cheating ...
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AI constraints must come before deployment, not after
On April 7, 2026, Anthropic did something unprecedented in the history of artificial intelligence: The company announced that it had built its most capable model ever and would not be releasing it to the public. The model had not failed. In fact, it had performed so well, across such consequential domains, that Anthropic concluded the ...
BREAKING ANALYSIS
Google’s AI agent platform takes pole position but work remains
Enterprises are rapidly moving from an artificial intelligence that answers questions and generates content to one that performs tasks and takes actions. According to Google Cloud Chief Executive Thomas Kurian, this shift requires a fundamentally different approach to infrastructure and software. Google’s view is that only a tightly integrated portfolio – spanning silicon to applications ...









