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How Video Transcription Services Improve AI Training Through Annotated Datasets Introduction In the age of artificial intelligence (AI), the need for vast amounts of high-quality data to train models has become more critical than ever. AI systems, particularly those driven by machine learning (ML) algorithms, rely on large datasets to learn patterns, improve accuracy, and make predictions. One of the most significant innovations supporting AI training is Video Transcription Services , which play a crucial role in transforming unstructured data—such as video and audio content—into structured, annotated datasets. The Role of Transcription in AI Training Video content has become a valuable source of data for various AI applications, including computer vision, natural language processing (NLP), and speech recognition. However, raw video data is not immediately useful for training AI models. To make this data actionable, it needs to be transcribed and annotated, which is where video transcr...