Kelly Knight
Latest from Kelly Knight
Enterprises are learning that the assumptions that powered the cloud era are no longer enough
The agentic AI era is forcing a fundamental redesign of enterprise infrastructure — not just in the cloud, but all the way to the on-premises data center. Regulated industries, governments and enterprises with strict data sovereignty requirements are now demanding AI-ready infrastructure that can run frontier models locally without surrendering control of their data. The ...
Healthcare AI succeeds or fails on the strength of its data foundation
Healthcare has long operated in data silos — payers, providers and patients each holding fragmented pieces of the same clinical story. That fragmentation, once accepted as the cost of doing business, is now the central obstacle to healthcare data readiness and the broader promise AI holds for one of the world’s most consequential industries. The breaking ...
Google Cloud puts $750M behind partner ecosystem to power the agentic enterprise
Every enterprise faces an imminent reckoning with agentic AI, but the transformation is too large and too complex for any single organization to navigate alone. The race is now on to build the ecosystems, skills and infrastructure necessary to bring about the agentic enterprise. Google LLC is betting that its rebuilt partner network is the ...
Sovereign architectures emerge as the new mandate for enterprises racing to modernize
As regulatory pressure intensifies and geopolitical uncertainty reshapes technology procurement, enterprises are rethinking control over their entire stack, with sovereign architectures emerging as the defining framework for that effort. The convergence of VMware migration, Kubernetes ingress modernization and AI governance is forcing organizations to confront all three challenges simultaneously, often with generalist teams stretched across ...
Proprietary stacks are failing enterprises when they need flexibility the most
As hybrid and multicloud strategies evolve, a new reality is coming into focus — one where open architectures are increasingly central to operational resilience, sovereignty and choice. The industry’s recent trajectory has made the stakes clear. Many technology providers are moving toward proprietary stacks at precisely the moment customers need the opposite — flexibility that ...
Across the enterprise, AI agents have outpaced the infrastructure meant to support them
As open-source platforms scramble to close the infrastructure gap, enterprises are discovering that autonomous operations expose a deeper problem than performance: control. The conversation around enterprise resilience has shifted dramatically. A few years ago, resilience meant uptime. Today, it means the ability to absorb shocks from geopolitical, technological and financial angles simultaneously — all while ...
The enterprises currently winning at AI built the data foundation everyone else skipped
Most enterprises have committed budget to AI, but few have built the data infrastructure needed to turn that spending into scalable AI outcomes. The problem is less about model capability than it is about data discipline. As organizations race to deploy, many are discovering that without trusted, governed data at the foundation, scalable AI outcomes ...
‘Vibe coding is fun, but is it safe?’: Oracle takes on the trust crisis at the core of AI development
Generative AI is democratizing application development, putting code-generation tools in the hands of virtually any developer. But as AI-assisted development accelerates, the enterprise technology industry faces a harder question: How do you build trusted AI development practices around code that AI writes for you? The answer, increasingly, is a discipline unto itself. Verification, security and ...
The ‘Goldilocks zone’: How the AI factory ends the cycle of rebuilding pipelines from scratch
The AI bottleneck isn’t the model — it’s everything that has to happen to the data before the model can even touch it. Conversational analytics is now emerging as the bridge to turn already-curated data into decisions without rebuilding the pipeline from scratch. It’s hard to ignore that AI adoption is accelerating even as most ...
Agentic workflows are making distributed, always-on databases nonnegotiable
Enterprise database infrastructure is undergoing its most consequential redesign in decades, as agentic AI workloads demand a level of elasticity that legacy architectures were never built to provide. As AI becomes deeply embedded in mission-critical workflows, organizations are learning that the underlying data platform can no longer be an afterthought. The pressure is especially urgent ...