Victoria Gayton
Latest from Victoria Gayton
Modern AI models demand massive, fast-moving datasets, and that pressure is exposing limits in existing infrastructure, especially for companies pursuing enterprise AI readiness across hybrid and multicloud environments. NetApp Inc. is sharpening its focus on enterprise AI readiness with a platform strategy …
Nutanix brings AI out of the lab and into production
Artificial intelligence is stepping out of the lab and into the heart of enterprise infrastructure. As AI moves past the proof-of-concept phase, enterprise leaders face a new challenge: Embedding intelligence into infrastructure without creating operational chaos. That’s where Nutanix Inc. positions itself …
Google and Accenture look to streamline security without compromising trust
As threat actors grow more sophisticated, enterprise security teams face mounting pressure to protect sprawling infrastructures with fewer resources. The challenge isn’t just about better tools. It’s also about smarter integration and faster outcomes. That’s where the partnership between Google LLC and …
What to expect at SAS Innovate: Join theCUBE May 7
As artificial intelligence moves from a promising experiment to an enterprise necessity, the stakes grow higher by the day. The future of trusted AI now depends on how organizations rethink governance, scaling and sustainability. From data oversight to energy consumption, the conversation is …
How Superna brings real-time prevention to the storage layer
Cybersecurity defenses have long prioritized network, application and identity protection — but not data security, where a critical gap has persisted. That layer is exactly where Superna Inc. has staked its claim, focusing on securing data storage, according to Alex Hesterberg (pictured, …
Inside Google Cloud’s new blueprint for scaling AI infrastructure
Artificial intelligence’s potential may be explosive, but its infrastructure demands are anything but chaotic. As enterprises accelerate toward production-scale AI, success increasingly depends on clear standards, efforts to simplify AI infrastructure and the ability to run workloads wherever business needs arise. While …
Three insights you may have missed from theCUBE’s coverage of Google Cloud Next
Enterprises are rethinking their cloud foundations as artificial intelligence accelerates demand for flexibility, speed and smarter infrastructure. In the race to modernize, multicloud and hybrid strategies are becoming the preferred playbook. Companies are realigning cloud investments to support faster development, minimize vendor …
Three insights you may have missed from theCUBE’s coverage of Dell’s ‘Is Your IT Infrastructure Ready for the Age of AI?’ event
Artificial intelligence adoption is accelerating, but many enterprises still struggle to connect the dots between their infrastructure and AI ambitions. Even the smartest models fall short without a modern enterprise AI infrastructure and data foundation. That’s where Arthur Lewis (pictured), president, infrastructure solutions …
Managing endpoint risk and MSP partnerships: NinjaOne’s dual strategy for CISOs
Cybersecurity today is less about building walls and more about deciding which risks to own and which to offload. Today’s chief information security officers are managing cybersecurity risk not as a fixed enemy, but as a moving target that requires flexibility, foresight …
Three insights you may have missed from theCUBE’s coverage of KubeCon + CloudNativeCon Europe
As enterprises embrace cloud-native architectures to manage sprawling multicloud ecosystems, one challenge dominates the conversation: how to navigate complexity without losing momentum. Cloud-native observability is emerging as a key lever in that effort, helping businesses tame tool sprawl, bridge skills gaps and …