What are the major hidden costs in AI app development that companies often overlook?
The major hidden costs include: cleaning and curating data (a huge time sink), cloud GPU budgets for both training and running models (inference), and extensive engineering time needed to wire everything into a scalable, secure DevOps pipeline. Additionally, integration debt - the custom backend engineering required to make AI outputs reliable and secure within existing applications - can cause budgets to double or more when moving from prototype to production.