利用生成式人工智能增强数据提取

3.0 2025-06-13 356 10 2264 KB 16 页 PDF
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利用生成式人工智能增强数据提取
利用生成式人工智能增强数据提取
利用生成式人工智能增强数据提取
利用生成式人工智能增强数据提取
利用生成式人工智能增强数据提取
摘要:

EY and Elastic CollaborationEnhancedData Extraction using Gen AI2EY and Elastic CollaborationAbstractThe growing accessibility of diverse types of data including structured databases, unstructured text, and multimedia, pose significant challenges for organizations that want to derive meaningful insights from complex data. Conventional search and retrieval methods are increasingly inadequate for managing the complexity and immense volume of data today. Let’s take a look at how generative AI (gen AI) can enhance retrieval strategies through language embeddings and source grounding, focusing on optimizing performance, speed, and scalability to effectively address these challenges. To assess the effectiveness of these gen AI-driven strategies, we’ll explore a critical intersection between financial services and environmental, social, and governance (ESG). We’ll specifically focus on extracting data from unstructured documents, such as banks’ emissions reports and quarterly reports, and con

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作者: 分类: 属性:16 页 大小:2264 KB 格式:PDF 时间:2025-06-13

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