The emergence of big data has compelled enterprises to think about how data has been sourced, organized, and analyzed to develop actionable insights. In addition, advances in natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) have equipped them with higher computational power to process large volumes of data, particularly the complex unstructured variety and diverse sources.
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