How Gen AI Can Turn Reams of Text into Actionable Insights
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How Gen AI Can Turn Reams of Text into Actionable Insights
"Some of the most valuable information inside organizations and across markets has long been trapped in dense, unstructured text: annual reports, contracts, customer feedback, technical manuals, and internal memos. The challenge wasn't that the information didn't exist; it was that extracting it systematically, across many documents, firms, and years, was slow, expensive, and hard to do consistently."
Organizations possess substantial valuable information embedded in unstructured text sources including annual reports, contracts, customer feedback, technical manuals, and internal memos. While this information is essential for sound decision-making, extracting it systematically across multiple documents, firms, and time periods has historically been slow, expensive, and inconsistent. The core challenge lies not in information availability but in developing efficient, reliable methods to access and utilize this data at scale.
Read at Harvard Business Review
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