Victoria Gayton

1 week ago | siliconangle.com | Victoria Gayton

From water grids to autonomous vehicles, the line between digital and physical has all but disappeared — and in its place, a sprawling attack surface now defines the frontlines of cybersecurity. To manage this expanding risk, cybersecurity vendors are pushing toward platform-based models meant to simplify control and boost visibility. But even as the promise of integration gains momentum, a clear disconnect is emerging between strategic vision and real-world implementation.

1 week ago | siliconangle.com | 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 built for speed, security and data-centric operations, according to Rob Strechay, managing director at theCUBE Research.

1 week ago | siliconangle.com | Victoria Gayton

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 — as the bridge between ambition and execution, according to Debo Dutta (pictured, right), chief AI officer at Nutanix.

2 weeks ago | siliconangle.com | Victoria Gayton

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 Accenture PLC comes in. The two companies have built not just on product integration, but on mutual investment in service delivery.

2 weeks ago | siliconangle.com | Victoria Gayton

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 shifting from “How can we use AI?” to “How can we use it wisely, securely, and efficiently?”SAS Institute Inc.