👉 Captured engineering refers to the process of extracting, processing, and deploying knowledge from existing systems, models, or data to enhance performance, solve new problems, or create innovative solutions without starting from scratch. This involves techniques like machine learning model retraining, data augmentation, transfer learning, and knowledge distillation, where insights from one domain are applied to another. By leveraging pre-existing engineered solutions, captured engineering accelerates development, reduces costs, and improves efficiency, enabling organizations to adapt established technologies to emerging challenges while minimizing risks associated with novel implementations.
