Kelly Knight
Latest from Kelly Knight
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 …
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 …
‘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 …
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 …
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 …
Measure twice, deploy once: Qlik makes the case for disciplined AI value generation
The chief financial officer’s priorities have decidedly shifted. AI value is no longer a promise to be made — it’s a number to be defended. For most enterprises, delivery on that promise remains elusive. The challenge is not a shortage of AI …
The AI-first workday is here, but is the data layer ready to handle it?
As “deploy fast” meets enterprise reality, data governance has quickly emerged as the bottleneck between AI ambition and outcomes. The disconnect is measurable. In their Agentic AI Study, Qlik Technologies Inc. found that while 97% of enterprises have committed budget to agentic AI, only …
The race to deploy AI agents is exposing a critical gap in enterprise data management
As AI agents demand real-time access to live, governed data, database lifecycle management has moved from a back-office task to a strategic imperative for enterprise infrastructure. The complexity of modern environments means developers can no longer afford to manage fragmented data silos …
Today’s applications, tomorrow’s AI workloads: Nutanix is building the platform for both, says CEO
The enterprise computing stack is undergoing its most consequential transformation in decades, as agentic infrastructure shifts from an experimental workload to the organizing logic of every new application. That shift is forcing a fundamental rethink of what infrastructure must actually do — …
Billions of users, millions of cores: Inside the high-stakes fight over end-user computing
A wave of legacy virtual desktop infrastructure replacements is sweeping enterprise IT, forcing organizations to rethink how they manage end-user computing — and whether their current approach to hybrid EUC can survive the rising cost of inaction. As the VMware ecosystem continues …