SparkCognition
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The Challenge of Unstructured Data

Published by SparkCognition

The white paper explores how AI-powered Natural Language Processing (NLP) addresses the challenge of unstructured data, which constitutes approximately 80% of organizational data. Traditional analytics tools struggle to process this data, but NLP enables machines to understand and analyze unstructured formats such as text, audio, video, and images. By automating data processing, NLP enhances operational efficiency, reduces human error, and supports high-value decision-making. The paper also highlights real-world applications, including maintenance advisory systems and financial document classification, illustrating NLP's transformative potential in various industries.

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Related Categories Artificial Intelligence, AI Ethics, Sentiment Analysis, Text Mining, Speech Recognition, Machine Translation, Sales & Marketing, Enterprise Software, Business Intelligence, Data Management, Workflow Automation, Healthcare