Kelly Knight
Latest from Kelly Knight
Automated governance is FinOps’ next frontier as AI spend spreads beyond engineering
Artificial intelligence is creating a new class of cloud cost challenge — one that no longer belongs exclusively to engineering teams. As AI tools put spend capabilities into the hands of sales, finance and executive teams, the need for automated governance has become as urgent as the innovation it is meant to protect. The FinOps ...
FinOps adapts to AI spend as token economics reshape enterprise budgets
As generative AI accelerates from a product experiment into a core enterprise operating cost, FinOps is evolving rapidly to manage AI spend, introducing a layer of complexity that traditional cloud budgets have never fully prepared practitioners to handle. Token economics are forcing organizations to rethink not just how they measure spend, but what costs even count ...
The intelligence layer emerges as the control plane for enterprise AI
As enterprises move beyond AI experimentation into full-scale production, the central challenge has shifted from accessing models to managing the organizational context they need to act reliably. The pressure to govern costs, secure data and maintain accountability is now redefining how companies architect their entire AI intelligence layer. That convergence of AI adoption and infrastructure ...
Tokenomics emerges as the new discipline for managing AI’s runaway cost frontier
AI spending is outpacing every budgeting model enterprise finance teams have built, and the gap between what tokens cost on paper and what organizations actually owe is becoming an operational crisis. As FinOps evolves into a boardroom strategy, the discipline is now being forced to reckon with a fundamentally new unit of technology referred to ...
Why FinOps teams are turning to FOCUS for AI cost accountability
As artificial intelligence drives a new wave of token-based spend across cloud and on-premises environments, enterprises are discovering that understanding what they actually owe — and to whom — is harder than ever. The FinOps FOCUS specification is emerging as the open standard that provides practitioners with a shared data language to cut through multi-provider ...
Vibe coding moves from weekend hobby to enterprise change management mandate
AI is rewriting how software gets built inside large enterprises — not just at the tooling level, but at the levels of culture, governance and organizational change. The rise of vibe coding, where developers describe intent in natural language and let AI generate working code, is collapsing development cycle times and forcing leadership to rethink ...
Exposure management evolves from vulnerability scanning to full-stack AI defense
AI has fundamentally broken the economics of cybersecurity and exposure management, compressing exploit windows from days to minutes and forcing organizations to rethink how they inventory, prioritize and remediate risk across an attack surface that now includes cloud infrastructure, identities and AI workloads themselves. The traditional approach — periodic scanning followed by manual patching cycles ...
Open data architecture powers DoorDash’s real-time logistics and agentic AI ambitions
As enterprises race to support machine learning, agentic workflows and analytics on the same infrastructure, open data architecture has emerged as the dividing line between platforms that scale and those that stall. At petabyte scale, logistics platforms can’t afford a monolithic data stack. DoorDash Inc. — one of the world’s largest real-time logistics companies — ...
Fiduciary-grade AI sets the bar as Thomson Reuters and Snowflake bring governed intelligence to the professions
Professionals who carry personal liability for their decisions — lawyers, tax accountants, auditors — cannot afford AI that gets it wrong. As enterprises accelerate deployment of agentic systems, the firms serving those professionals are discovering that fiduciary-grade AI — intelligence built on governed, authoritative data — is not a constraint on adoption; it is the ...
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 the 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 ...