Kelly Knight
Latest from Kelly Knight
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 ...
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 ambition, according to Mike Capone (pictured, right), chief executive officer of Qlik Technologies Inc. ...
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 18% have fully deployed it — with data quality, integration and governance cited ...
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 manually, according to Ashish Mohindroo (pictured, right), general manager and senior vice president ...
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 — not just host workloads, but orchestrate intelligent agents, govern data pipelines and optimize ...
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 to shift following Broadcom Inc.’s acquisition, hundreds of millions of compute cores are ...