Architecture of a Generative AI Application for Businesses
Why the model is only 10% of the equation — and what makes up the other 90% Successful enterprise AI systems are defined not by which model you choose, but by the infrastructure, feedback loops, and operational frameworks that surround it. A model is a static component; a system is a living entity that integrates with company data, observes user behaviour, and improves continuously through feedback. Enterprises that focus on choosing the best model, rather than building robust systems, are solving the wrong problem. In this article, you will learn why model-centric thinking leads to AI project failure and how …
