Why 90% of Defense AI Projects Fail – And How Proper Data Annotation Fixes It
Modern military methods now rely heavily on artificial intelligence (AI), which improves autonomous systems, threat identification, and monitoring. However, around 90% of defense AI programs fail before they are deployed, even with significant funding. The underlying reason? inadequate annotation of the data. AI models have trouble handling real-world situations without properly annotated datasets, which produces […]
Human in the Loop (HITL): Enhancing AI Accuracy with Human Oversight
Artificial Intelligence (AI) is rapidly transforming industries — from healthcare diagnostics and fraud detection to autonomous driving and retail personalization. However, even the most advanced AI models face challenges: incomplete data, inherent biases, and the inability to handle rare or unexpected scenarios. This gap between machine intelligence and real-world complexity has created the need for […]