#enterprise
8 articles tagged enterprise.
AI Coding Tools in Enterprise: What 90 Days of Data Actually Shows
A structured 90-day study of AI coding tools across a 70-engineer enterprise team, measuring PR velocity, defect rates, adoption patterns, and ROI. The results were not all positive — and the most important finding had nothing to do with speed.
Why Most Enterprise AI Projects Die in Production (And the 5 Patterns That Actually Survive)
I've deployed AI systems to 10,000+ enterprise users across healthcare, logistics, and financial services. The projects that failed didn't fail because of the model. They failed because of decisions made before the first line of model code was written.
Microservices Done Right: Patterns I've Learned from 12 Years of Enterprise Architecture
Real-world patterns, anti-patterns, and hard lessons from designing and delivering microservices for global enterprises — from service decomposition to event-driven architecture to the observability you'll wish you had from day one.
Why Apigee is the Missing Layer in Every Microservices Architecture
After years of building enterprise microservices at scale — from Herbalife to HCA Healthcare — here's why I believe API management isn't optional anymore, and what Apigee-X brings to the table that raw gateways simply can't.
Prompt Engineering Best Practices for Enterprise Teams
Beyond \"be clear and specific\" — the prompt engineering techniques enterprise teams actually ship: system-prompt architecture, few-shot design, retrieval grounding, structured outputs, and iterating with evals.
Claude vs GPT for Enterprise: An Honest Comparison
A practical, vendor-neutral comparison of Anthropic's Claude and OpenAI's GPT for enterprise use — reasoning, tool use, cost, data privacy, deployment, and how to actually decide.
How to Calculate ROI on AI Projects (a Practical Framework)
A clear framework for calculating the ROI of an AI project — quantifying value, counting the real costs, computing payback, and presenting it to executives without hand-waving.
The Enterprise AI Data Readiness Checklist
AI succeeds or fails on data. A practical, dimension-by-dimension checklist to assess whether your enterprise data is ready for RAG, agents, and LLM features — before you build.