Kelly Knight
Latest from Kelly Knight
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 …
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 …
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 …
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 …
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 …