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

How Google Cloud is shaping the enterprise AI inference moment

AI By VICTORIA GAYTON9 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 GAYTON9 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 GAYTON9 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 GAYTON9 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 GAYTON9 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, …

Developer workflow poised for change as AWS advances continuous-learning AI agents

AI By VICTORIA GAYTON9 MONTHS AGO

For all the hype around artificial intelligence coding assistants, many treat every session as a blank slate — no memory of yesterday’s preferences, context or institutional knowledge. That’s the gap agentic AI aims to close, not just helping developers write code but …

AI agents reshape expectations for data connectivity as Salesforce expands its ecosystem strategy

AI By VICTORIA GAYTON9 MONTHS AGO

Enterprise data integration is fast becoming the quiet power broker behind modern AI, reshaping how companies stitch together sprawling data estates, evolving application stacks and an ever-widening menu of model options. What’s emerging is less a tooling problem and more a coordination …

AI-native observability is becoming the new enterprise compass, says Honeycomb.io CMO

AI By VICTORIA GAYTON9 MONTHS AGO

Cloud-native practices have matured into stable foundations, and the industry is accelerating toward an AI-native observability future. Observability is becoming essential for ensuring direction and measurable outcomes in this fast-paced environment. Cloud-native and AI-native observability are reshaping workflows, data practices and engineering …

How Zendesk built the AI engine powering billions of customer interactions

AI By VICTORIA GAYTON9 MONTHS AGO

Customer service automation has become one of enterprise tech’s most AI-intensive workloads. The shift goes beyond chatbots to multimodal interactions, proprietary training data and infrastructure handling hundreds of billions of application programming interface requests annually. Cloud-based software company Zendesk Inc.’s approach is …

Enterprises tightening the stack as AI workloads surge

INFRA By VICTORIA GAYTON10 MONTHS AGO

Enterprises are rebuilding their digital foundations as artificial intelligence accelerates demand for smarter, more resilient AI infrastructure. Across the industry, teams are reconsidering how tightly their systems need to work together to keep up with modern workloads. The pressure to move faster …

Victoria Gayton

Latest from Victoria Gayton

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

Developer workflow poised for change as AWS advances continuous-learning AI agents

How Zendesk built the AI engine powering billions of customer interactions

Enterprises tightening the stack as AI workloads surge

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