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

IBM’s agentic strategy brings generative AI down to earth and into production

Companies are leaning into generative artificial intelligence with bold ambitions, but scaling those aspirations demands an agentic strategy that goes beyond enthusiasm and experimentation. As many focus on engagement and content generation, IBM is calling attention to the operational realities that underpin lasting success. Its agentic strategy is gaining traction because it bridges creative momentum ...

Heineken’s AI evolution: Brewing insights with IBM and a modular stack

With over 160 years of legacy across hundreds of local markets, Heineken faces a common yet complex challenge: How to modernize a highly distributed enterprise without losing the local touch that made it iconic. Artificial intelligence and data technologies offer a path forward, but only when paired with clear business intent and powered by connected ...

The future of agentic AI in commerce: 8 standout takeaways from Elevate 2025

Artificial intelligence is redefining how commerce happens, pushing it beyond transactions into experiences that feel intuitive, personal and emotionally aware. From dynamic agents to hyper-tailored journeys, agentic AI is turning what once felt futuristic into the new baseline. Commercetools, a longtime force in digital commerce strategy, is driving much of this shift. Known for its ...

From copilots to orchestrators: AI agents reshape IBM’s automation playbook

AI agents are emerging as the next evolution in enterprise intelligence, moving beyond copilots to autonomous systems capable of driving outcomes. As companies adopt them across departments, complexity surges and execution risks rise. IBM Corp. is focused on developing AI agents that execute across systems rather than merely assist at the edges. These agents are ...

From insight to automation: USAA’s enterprise gen AI strategy

Most companies talk about gen AI as a feature. At the United Services Automobile Association, it’s becoming foundational. USAA is applying generative artificial intelligence across core operations to pull strategic insight from unstructured data, according to Ramnik Bajaj (pictured), senior vice president, chief data, analytics and AI at USAA. Its approach prioritizes scale, trust and adaptability ...

Inside PepsiCo’s AI playbook: Unified data, strategic wins and global scale

Enterprises are racing to apply generative artificial intelligence across customer experiences, operations and supply chains, but enterprise AI adoption isn’t easy. Turning innovation into real-world business value is proving far more difficult than expected. PepsiCo Inc. is showing what it looks like when that ambition meets execution. The company has moved beyond pilots and prototypes ...

Enterprise AI gains momentum as Red Hat focuses on infrastructure-first strategy

From powering predictive models to streamlining operations, artificial intelligence is transforming enterprise AI into a story of integration, not disruption. Red Hat Inc. is doubling down on the belief that AI should enhance existing enterprise systems rather than replace them. At the heart of this approach is infrastructure: stable, open and built to scale, according ...

Red Hat bets on platform power to fuel AI partner momentum

Artificial intelligence is redrawing the enterprise map at breakneck speed, driving demand for partnerships that go beyond innovation to deliver measurable business outcomes. At the center of this shift is the AI partner ecosystem — an interconnected network of collaborators working across infrastructure, models and services to scale enterprise use cases. Red Hat is leaning ...

AMD and Red Hat double down on AI infrastructure flexibility

As AI adoption accelerates, companies want to modernize their infrastructure without locking into a single platform or deployment model. That pressure is reshaping vendor alliances, particularly those built to support AI infrastructure flexibility through open architectures and hybrid approaches. Advanced Micro Devices Inc. and Red Hat  Inc. have spent the past decade building exactly that ...

Red Hat builds real-world AI infrastructure from upstream to inference

Enterprises looking to push AI infrastructure from lab experiments to production-ready solutions face a familiar bottleneck: Data access, system compatibility and performance at scale. Red Hat Inc. is tackling this challenge head-on through collaborative efforts with hardware and chip partners to optimize artificial intelligence and memory technologies in real-world enterprise environments. “I think it all ...