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Articles and essays on technology, architecture, AI, writing, books, and life.

Stop Trying to Sell AI

AI has become ubiquitous in sales messaging at the same time that consumers are increasingly skeptical of AI-generated content and many enterprises are still struggling to convert AI activity into measurable returns. This article argues that vendors and internal technology teams should stop leading with AI and start with the business problem. AI should compete with automation, integration, process redesign, and simpler software on cost, quality, speed, and measurable value.

#enterprise-ai #ai-adoption #ai-roi #technology-strategy #sales #marketing #value-realization #enterprise-architecture

Four Pieces of Enterprise AI Infrastructure to Watch

This article identifies four emerging pieces of enterprise AI infrastructure. Model infrastructure provides model access, hosting, inference, routing, metering, and lifecycle services. Agent infrastructure provides runtime, identity, tools, state, observability, and lifecycle management for agents. MCP infrastructure governs standardized access to tools and services. Context infrastructure assembles trusted enterprise context across metadata, semantics, ownership, provenance, policy, and operational state. Existing services from Microsoft, AWS, Google, and others show that these categories are already beginning to take shape.

#enterprise-ai #ai-infrastructure #model-serving #ai-agents #mcp #context-management #enterprise-architecture #ai-platforms

The AI ROI Gap Starts With the Wrong Question

PwC's 29th Global CEO Survey found that 56 percent of CEOs reported neither higher revenue nor lower costs from AI, while only 12 percent reported both. This article argues that the result is predictable when organizations lead with AI instead of business value. It distinguishes technical pilot success from economic success, explains why measurement must change capital-allocation decisions, and argues that AI should compete for investment on measurable outcomes like any other technology.

#ai-roi #ai-adoption #value-realization #artificial-intelligence #enterprise-ai #kpi #portfolio-management #business-strategy

AI Is an Enterprise Capability

AI increasingly appears across models, modalities, enterprise context, security controls, economics, general-purpose tools, SaaS features, point solutions, workflows, and agents. This article defines AI as an enterprise capability and proposes a working model built around models, context, controls, applications, operating responsibility, and value.

#enterprise-ai #enterprise-architecture #ai-capability #ai-governance #ai-adoption #operating-model #ai-architecture

Has the Linux Desktop Finally Become Usable?

A pair of $25 Chromebooks became an unexpected test of how far desktop Linux has come. Windows technically worked but consumed too much of the machines' limited storage and required more hardware-specific effort. Linux with Xfce was lean, functional, and unexpectedly uneventful. The remaining problems increasingly come from ecosystem support rather than the desktop itself.

#linux #desktop-linux #chromebook #xubuntu #xfce #open-source #refurbished-hardware

AI ROI Starts With the Process

AI initiatives can create direct productivity gains, but the process review they trigger may reveal a larger pool of value. This article looks at how to redesign the work first, use conventional automation for predictable steps, and apply AI where language, unstructured information, pattern recognition, or flexible reasoning creates a measurable advantage.

#ai-adoption #ai-roi #process-redesign #workflow-redesign #operating-model #automation #measurement