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ESG Economic Validation - Analyzing the Economic Benefits of Intelligent Search using Amazon Kendra

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Economic Validation: Analyzing the Economic Benefits of Intelligent Search using Amazon Kendra 3 © 2022 TechTarget, Inc. All Rights Reserved. The Solution: Amazon Kendra Amazon Kendra is an intelligent search service powered by machine learning (ML). It enables users to search unstructured and structured data using natural language processing and advanced search algorithms quickly and accurately. Amazon Kendra is designed to return an exact answer from within any document, whether it's a text snippet, FAQ, or PDF. Being a managed service, it relieves organizations of the burdens of deploying and maintaining dedicated infrastructure (e.g., capacity planning). It provides fast access to an intelligent search service that reduces the implementation cost and time often associated with traditional search solutions, giving its users an experience that is similar to asking a human expert. Customers can easily find the content they're looking for, even when it's scattered across multiple locations and content repositories within the organization. Figure 2. Amazon Kendra Capabilities Source: ESG, a division of TechTarget, Inc. Key features of Amazon Kendra include: • Intelligent search: Uses ML-powered search that understands natural language queries and context to deliver more relevant answers from unstructured data. Query autocompletion reduces typing by about 25 percent and guides users toward more precise and commonly asked questions. • Tuning and accuracy: Fine-tunes search results and answers based on specific business objectives. • Domain optimization: Uses deep learning models to understand natural language queries, document content, and structures for a wide range of internal use cases—including HR, operations, support, and R&D. • Incremental learning: Continuously optimizes search results based on end-user search patterns and feedback. • Quick setup: Native and partner connectors enable users to add data sources to Amazon Kendra quickly and easily. Ingestion is automated with custom metadata enrichment that can pre-process documents before they are indexed. Experience Builder deploys a fully functional and customizable search experience in a few clicks, without any coding or ML experience. • Secure search: Automatically filters search results based on end-user permissions and access rights. In addition, the Search Analytics Dashboard helps administrators and content creators understand quality and usability metrics across the Amazon Kendra-powered applications, the quality of the search results, and gaps in the content.

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