https://www.dsmeglobal.com/insights/ Practitioner notes on shipping AI to production — RAG, agents, evals, MLOps and product engineering, from the DSME Global Links team. en Mon, 13 Jul 2026 00:00:00 GMT https://www.dsmeglobal.com/insights/the-data-foundation-your-ai-roadmap-is-waiting-for/ https://www.dsmeglobal.com/insights/the-data-foundation-your-ai-roadmap-is-waiting-for/ Mon, 13 Jul 2026 00:00:00 GMT Generative AI Most stalled AI initiatives don't have a model problem — they have a data problem nobody owned. What 'AI-ready data' actually means, and the minimum foundation that unblocks the roadmap. https://www.dsmeglobal.com/insights/escaping-the-legacy-trap-modernizing-without-a-rewrite/ https://www.dsmeglobal.com/insights/escaping-the-legacy-trap-modernizing-without-a-rewrite/ Sun, 12 Jul 2026 00:00:00 GMT Engineering The full rewrite is the most seductive and most fatal proposal in software. How strangler-fig migrations let you replace a legacy system piece by piece — while the business keeps running on it. https://www.dsmeglobal.com/insights/native-cross-platform-or-pwa-choosing-a-mobile-stack/ https://www.dsmeglobal.com/insights/native-cross-platform-or-pwa-choosing-a-mobile-stack/ Sat, 11 Jul 2026 00:00:00 GMT Engineering The mobile stack debate is usually argued on ideology and settled by regret. Here's the decision framework we actually use — including what on-device AI and the app stores change about the answer. https://www.dsmeglobal.com/insights/ai-in-regulated-industries/ https://www.dsmeglobal.com/insights/ai-in-regulated-industries/ Fri, 10 Jul 2026 00:00:00 GMT Strategy Compliance doesn't have to kill your AI roadmap — but it does change the architecture. Patterns we use to ship AI into healthcare and fintech without turning every release into a legal review. https://www.dsmeglobal.com/insights/how-to-buy-ai-development-founders-guide/ https://www.dsmeglobal.com/insights/how-to-buy-ai-development-founders-guide/ Thu, 09 Jul 2026 00:00:00 GMT Strategy Every agency has an impressive AI demo now. Here's how to tell the teams that ship production systems from the ones that ship slide decks — the questions to ask, the red flags, and how to structure a first engagement that protects you. https://www.dsmeglobal.com/insights/computer-vision-lab-to-loading-dock/ https://www.dsmeglobal.com/insights/computer-vision-lab-to-loading-dock/ Wed, 08 Jul 2026 00:00:00 GMT Engineering A vision model that scores beautifully on a curated test set can fall apart on its first night shift. Here's what actually changes when CV leaves the lab — and how to build for it. https://www.dsmeglobal.com/insights/multi-tenant-saas-lessons-from-production/ https://www.dsmeglobal.com/insights/multi-tenant-saas-lessons-from-production/ Mon, 06 Jul 2026 00:00:00 GMT Engineering Tenancy is the one architectural decision you can't refactor your way out of later. What running multi-tenant systems in production has taught us about isolation, noisy neighbors and tenant-aware operations. https://www.dsmeglobal.com/insights/scoping-an-ai-mvp-ship-in-six-weeks/ https://www.dsmeglobal.com/insights/scoping-an-ai-mvp-ship-in-six-weeks/ Fri, 03 Jul 2026 00:00:00 GMT Strategy Most AI projects don't fail at the model — they fail at the scope. How we cut an ambitious AI idea down to a six-week build that proves value with real users. https://www.dsmeglobal.com/insights/fine-tune-or-rag-teaching-a-model-your-business/ https://www.dsmeglobal.com/insights/fine-tune-or-rag-teaching-a-model-your-business/ Wed, 01 Jul 2026 00:00:00 GMT Generative AI Both make a general model behave like it knows your domain, but they solve different problems. A practical guide to picking the right one — and knowing when you need both. https://www.dsmeglobal.com/insights/guardrails-for-agents-that-take-actions/ https://www.dsmeglobal.com/insights/guardrails-for-agents-that-take-actions/ Tue, 30 Jun 2026 00:00:00 GMT AI Agents An agent that only writes text is low-stakes. An agent that can send emails, move money or change records is a different animal. Here's how we make action-taking agents safe enough to trust. https://www.dsmeglobal.com/insights/what-llm-inference-actually-costs/ https://www.dsmeglobal.com/insights/what-llm-inference-actually-costs/ Fri, 26 Jun 2026 00:00:00 GMT Engineering The token price on the pricing page is the smallest part of the bill. Here's where LLM cost actually comes from in production, and the levers that move it without hurting quality. https://www.dsmeglobal.com/insights/evals-turning-quality-into-a-number/ https://www.dsmeglobal.com/insights/evals-turning-quality-into-a-number/ Wed, 24 Jun 2026 00:00:00 GMT Generative AI Vibes don't ship. If you can't score your AI system, you can't tell whether a prompt tweak helped or quietly broke three other things. Here's how we build evals that hold up. https://www.dsmeglobal.com/insights/rag-in-production/ https://www.dsmeglobal.com/insights/rag-in-production/ Thu, 18 Jun 2026 00:00:00 GMT Generative AI Retrieval-augmented generation is easy to prototype and hard to productionize. Here's what actually matters when you take RAG live. https://www.dsmeglobal.com/insights/when-to-use-ai-agents/ https://www.dsmeglobal.com/insights/when-to-use-ai-agents/ Fri, 29 May 2026 00:00:00 GMT AI Agents Agents are powerful and easy to over-apply. A practical framework for deciding when autonomy earns its keep. https://www.dsmeglobal.com/insights/ai-that-earns-its-place/ https://www.dsmeglobal.com/insights/ai-that-earns-its-place/ Tue, 12 May 2026 00:00:00 GMT Strategy Not every problem needs a model. How we help teams pick the AI use cases that actually move the numbers. https://www.dsmeglobal.com/insights/mlops-without-the-buzzwords/ https://www.dsmeglobal.com/insights/mlops-without-the-buzzwords/ Fri, 24 Apr 2026 00:00:00 GMT Engineering Models drift, data changes, and yesterday's accuracy is no guarantee. What it really takes to keep AI working in production. https://www.dsmeglobal.com/insights/designing-trust-into-ai/ https://www.dsmeglobal.com/insights/designing-trust-into-ai/ Fri, 03 Apr 2026 00:00:00 GMT Strategy The difference between AI people use and AI they abandon is rarely the model. It's the experience around it.