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Session 2: Creating Structure from Unstructured Data
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Part 2 in our AutoClassification webinar series focuses on the details of creating structure from unstructured data. In this session, we will explore:
• The difference between structured, semi-structured, and unstructured data.
• How to make sense of large repositories of unclassified content, how to generate context, and how to leverage line-of-business subject matter experts to assure high-quality classification.
• Strategies for choosing a good place to start a content assessment project.
• Tips, tricks, and pitfalls learned from the field when conducting content assessment projects.
• File type challenges, the value of OCR, clustering, and more!
• The difference between structured, semi-structured, and unstructured data.
• How to make sense of large repositories of unclassified content, how to generate context, and how to leverage line-of-business subject matter experts to assure high-quality classification.
• Strategies for choosing a good place to start a content assessment project.
• Tips, tricks, and pitfalls learned from the field when conducting content assessment projects.
• File type challenges, the value of OCR, clustering, and more!