Extractive AI vs. Generative AI: Data Extraction & Precision

Taking important details out of financial data, legal documents, contracts, and customer evaluations

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Extractive AI is superior at locating and condensing pertinent information from papers, databases, and other structured or unstructured data formats

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Enhancing the precision and effectiveness of search queries in business databases and repositories is known as information retrieval and search

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Increasing agent productivity, automating frequently asked questions, and evaluating customer feedback

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Collecting and evaluating news stories, social media posts, and market data in order to learn about rival tactics is known as competitive intelligence

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Finding suspicious behavior and trends in financial transactions and other data sources is the first step in fraud detection and risk management

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Information that has been extracted is knowledge that has yet to be unlocked; it is not only raw data

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