Victoria Gayton

Victoria is a field editor for theCUBE, SiliconANGLE Media's livestreaming studio. As a writer for IBM Global Services, she produced thought-leadership white papers on diverse topics, ranging from internet security to AI to cloud computing, for nearly two decades. Today, Victoria's enthusiasm for exploring and writing about emerging technologies continues unabated. In her spare time, she works with an animal rescue group, listens to podcasts that inspire her and prepares (easy) recipes that make her seem like a far better cook than she is.

Latest from Victoria Gayton

The platform that ate the pipeline: Vast Data’s rethink of AI infrastructure

AI By VICTORIA GAYTON8 MONTHS AGO

The enterprise data stack wasn’t designed for continuous, autonomous agentic AI. For years, the challenge was storing and organizing information. Now the challenge is delivering that data — consistently, globally and in real time — to systems that reason and act without …

What to expect during Vast Forward: Join theCUBE Feb. 25

AI By VICTORIA GAYTON8 MONTHS AGO

The AI arms race has centered on compute: Who has the most graphics processing units, the fastest chips and the biggest clusters? But a different pressure point is emerging as enterprises move AI from pilot programs into continuous, production-grade operations. Vast Data …

Escaping the pilot trap: How composable AI data platforms move enterprise AI to production

AI By VICTORIA GAYTON8 MONTHS AGO

Enterprise artificial intelligence has a completion problem. Even with strong models, ambition and executive support, most initiatives fail when implemented in real operations. The persistent gap between a promising proof of concept and a production system that delivers repeatable business value has …

Dell’s approach to the data architecture problem standing between AI pilots and production

AI By VICTORIA GAYTON9 MONTHS AGO

Generative artificial intelligence is no longer an experiment tucked away in innovation labs. Enterprises now push toward production-scale systems that can reason, retrieve and act across vast data estates. The shift exposes the fact that existing data architectures must evolve to meet …

Enterprise AI adoption, demystified: What enterprises learned building with Google Cloud

CLOUD By VICTORIA GAYTON9 MONTHS AGO

Enterprise AI didn’t slow because the technology wasn’t ready. It slowed because people weren’t sure what to trust, what to learn or where to begin. Over the past year, conversations with Google Cloud leaders and industry experts revealed a consistent pattern: Enterprise …

How Google Cloud is shaping the enterprise AI inference moment

AI By VICTORIA GAYTON10 MONTHS AGO

Enterprise technology investment continues to accelerate, but the friction point has shifted. The hard part is no longer training models or selecting architectures. It’s getting those models into production, keeping them responsive under real-world conditions and proving they deliver value once they’re …

AI agents face a widening trust gap, theCUBE Research finds

AI By VICTORIA GAYTON10 MONTHS AGO

AI agents are fast becoming the defining force behind the enterprise shift from simple automation to true decision intelligence. If the first satisfactory phase of enterprise artificial intelligence was about automation, the next is clearly about augmentation: enhancing human intelligence in knowledge …

Three insights you may have missed from theCUBE’s coverage of AWS re:Invent

AI By VICTORIA GAYTON10 MONTHS AGO

Something that’s been building for several years has finally come into clearer view as enterprises shift their attention from model performance to the systems that bring intelligence into production. The conversation now centers on how agentic AI fits into real workloads, reshaping …

Union.ai on the rise of experimental AI development infrastructure in the enterprise

AI By VICTORIA GAYTON11 MONTHS AGO

Building software has long followed a reliable playbook: Write code, test, deploy and iterate. But when deterministic algorithms give way to artificial intelligence models that learn and adapt, the old playbook falls apart. AI development infrastructure has become essential for enterprises trying …

Synthetic recovery gains traction as a new frontline defense against escalating cyberattacks

SECURITY By VICTORIA GAYTON11 MONTHS AGO

When a cyberattack hits, organizations face an impossible choice: Roll back to a known, clean copy and accept significant data loss or push forward with potentially compromised systems. That no-win gamble has defined disaster recovery for years. A new approach, synthetic recovery, …

Victoria Gayton

Latest from Victoria Gayton

What to expect during Vast Forward: Join theCUBE Feb. 25

Dell’s approach to the data architecture problem standing between AI pilots and production

Enterprise AI adoption, demystified: What enterprises learned building with Google Cloud

AI agents face a widening trust gap, theCUBE Research finds

Three insights you may have missed from theCUBE’s coverage of AWS re:Invent

Union.ai on the rise of experimental AI development infrastructure in the enterprise

Synthetic recovery gains traction as a new frontline defense against escalating cyberattacks

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