AI9 min read
What is enterprise AI architecture?
The difference between a successful pilot and a production AI capability is rarely the model. It is the architecture around it. Here is what that architecture contains and which decisions matter.
Insights
Technical perspectives from the field.
Articles on how enterprise AI, data platforms, cloud and integration actually get designed and delivered. Written by architects, for the people who have to make these decisions.
AI11 min read
How to build an enterprise RAG architecture
RAG is simple to demo and hard to run. This guide walks through the components of a production retrieval-augmented generation architecture and the decisions that separate a reliable system from a chatbot that hallucinates politely.
AI8 min read
AI agents vs traditional automation: when to use each
Agents are not a replacement for every workflow engine and RPA bot. They are a new tool for a specific class of work. Knowing which class is the difference between a reliable operation and an expensive experiment.
Data10 min read
Microsoft Fabric vs Databricks: how to choose
Both platforms implement the lakehouse on open formats. The differences are in who they are built for, how governance works and where Power BI sits. A decision framework from projects that used one, the other and both.
Integration9 min read
SOA vs microservices: enterprise integration architecture that lasts
The debate is usually framed as old versus new. In practice, enterprises that integrate well take the principles of SOA, the autonomy of microservices and the governance of API management, and evolve toward them one interface at a time.
Cloud9 min read
Cloud modernization strategy: how to modernize legacy systems without stopping the business
Moving to the cloud is the easy part. Making legacy systems cheaper to run and faster to change is the goal. A strategy built from assessments and migrations in real enterprise environments.
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