#enterprise
8 articles tagged enterprise, from AI Engineering, AI, Architecture. Latest: “AI Coding Tools in Enterprise: What 90 Days of Data Actually Shows”.
AI Coding Tools in Enterprise: What 90 Days of Data Actually Shows
A 90-day study of AI coding tools across a 70-engineer team, measuring PR velocity, defect rates, and ROI. The biggest finding had nothing to do with speed.
Why Most Enterprise AI Projects Die in Production (And the 5 Patterns That Actually Survive)
Why enterprise AI projects fail in production: it is rarely the model. The failures happen earlier, in scope, data, cost control and ownership.
Microservices Done Right: Patterns I've Learned from 12 Years of Enterprise Architecture
Real-world patterns, anti-patterns, and hard lessons delivering microservices for global enterprises — from decomposition to observability done right.
Why Apigee is the Missing Layer in Every Microservices Architecture
After years building enterprise microservices and integration platforms, here is why API management isn't optional and what Apigee X brings to the table.
Prompt Engineering Best Practices for Enterprise Teams
The prompt engineering techniques enterprise teams ship: system prompts, few-shot examples, RAG grounding, structured output, and iterating with evals.
Claude vs GPT for Enterprise: An Honest Comparison
A vendor-neutral comparison of Anthropic's Claude and OpenAI's GPT for enterprise use — reasoning, tool use, cost, data privacy, deployment, and how to decide.
How to Calculate ROI on AI Projects (a Practical Framework)
A clear framework for calculating AI project ROI — quantifying value, counting real costs, computing payback, and presenting it to executives.
The Enterprise AI Data Readiness Checklist
AI succeeds or fails on data. A dimension-by-dimension checklist to assess whether your enterprise data is ready for RAG, agents, and LLM features.