Find out what your peers are saying about Elastic, Amazon Web Services (AWS), Algolia and others in Search as a Service.
Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra enables developers to add search capabilities to their applications so their end users can discover information stored within the vast amount of content spread across their company. This includes data from manuals, research reports, FAQs, HR documentation, customer service guides, and is found across various systems such as file systems, web sites, Box, DropBox, Salesforce, SharePoint, relational databases, Amazon S3, and more. When you type a question, the service uses machine learning algorithms to understand the context and return the most relevant results, whether that be a precise answer or an entire document. For example, you can ask a question like "How much is the cash reward on the corporate credit card?” and Kendra will map to the relevant documents and return a specific answer like “2%”. Kendra provides sample code so that you can get started quickly and easily integrate highly accurate search into your new or existing applications.
Inbenta's natural language processing technology and years of research and development have led to the creation of Inbenta Enterprise Search for Customer Support, an intelligent, AI-powered self-service solution that understands the meaning of customer questions in over 25 languages, providing the correct answer more than 80% of the time. The search solution scrapes existing knowledge bases, FAQs, and help content, making it easy to deploy within weeks. With a team of expert linguists assigned to each client to help them understand the root cause of queries and make suggestions on updates to FAQs, Inbenta's products help businesses improve their overall online customer experience. The result: improved customer satisfaction, reduced support costs and increased revenue.
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