Quick answer: Data augmentation in AI models is the process of generating realistic, synthetic data from existing datasets to train machine learning algorithms. It improves AI
TL;DR: Most AI initiatives fail because organizations confuse AI development with AI integration. While AI development focuses on training models in controlled lab environments, AI integration