Kelly Knight
Latest from Kelly Knight
Custom model training is bringing enterprise AI from experimentation to production
As artificial intelligence moves from proof of concept into enterprise production, custom model training on governed data is emerging as a critical unlock for organizations that need domain-specific accuracy without sacrificing security or control. The shift is pressing enterprise platforms to rethink how they deliver model training infrastructure. Rather than forcing customers to move sensitive ...
Strong AI data foundations turn enterprise chaos into competitive advantage
Enterprises are learning that the race to AI-native operations is not won by deploying the most tools or agents — it is won by the organizations that build the most trusted AI data foundations underneath them. As Snowflake’s agentic enterprise vision takes shape at its Summit 2026 conference in San Francisco, the practical lesson from ...
Dell and H2O.ai target the token-cost problem with vertical AI models
As artificial intelligence adoption accelerates inside enterprises, the economics of generative AI are forcing a fundamental rethink. Runaway token costs, data sovereignty demands and a growing gap between AI pilots and production ROI are pushing organizations to reconsider where their models run — and what kind of vertical AI models they actually need. The answer ...
Azure Local and disaggregated infrastructure are rewriting private cloud economics
As enterprises confront rising memory and storage costs alongside mounting pressure to run AI workloads on-premises, the fundamental architecture of the private cloud data center is changing beneath their feet — and Azure Local is emerging as a key part of that new foundation. Digital sovereignty is accelerating the transformation. Regulated industries — from government ...
Physical AI takes off: How real-time data keeps Fraport’s airports running on time
Physical AI is no longer a concept confined to factory floors and autonomous vehicles — it is reshaping the complex, time-sensitive operations of some of the world’s busiest airports. The operators managing dozens of airports and tens of millions of passengers face decisions that cannot wait for a round-trip to the cloud, making low-latency, on-premises ...
As token costs shoot up, Dell doubles down on desktop AI
As enterprises confront spiraling cloud inference bills, on-prem AI computing is emerging as the decisive lever for making agentic AI economically viable at scale. Dell Technologies Inc.’s announcement of Dell Deskside Agentic AI put on-prem AI computing at the center of its enterprise strategy, framing local compute not merely as an alternative to the cloud but ...
If enterprise data is the oil, Dell wants disaggregated infrastructure to be the pipeline
Disaggregated infrastructure is displacing the all-in-one data center stack — and the economics of AI are making that reality impossible to ignore. The vast majority of enterprise data still resides on-premises, making it a natural anchor for the next wave of AI deployments. As organizations race to operationalize agentic AI, the operational complexity and rigid ...
Runaway token costs and sovereignty concerns are driving enterprises back to the desktop
The AI PC is being fundamentally redefined as agentic workloads push the boundaries of what local compute can deliver — and as runaway cloud token costs force enterprises to rethink where inference actually happens. The PC’s resurgence as the ultimate AI endpoint is now in focus — an architectural reality driven by sovereignty concerns, token ...
Amid tool sprawl and agentic fragmentation, the need for an AI operating system has grown critical
As enterprises move from AI experimentation to full-scale production, the absence of a unified enterprise AI operating system is emerging as the single most consequential bottleneck in realizing returns from AI infrastructure investment. Dell Technologies World 2026 made the challenge clear: AI factories and on-premises infrastructure are being stood up at scale, but enterprises still lack the ...
IBM Sovereign Core aims to put AI control back in the hands of the enterprise
Companies worldwide are demanding more than regulatory compliance from their technology stacks — they want digital sovereignty with verifiable operational control over AI workloads and the data infrastructure underpinning them. More than 75% of all enterprises outside the U.S. will have a digital sovereignty strategy by 2030 — a signal that the market has moved ...