AWS unveils general availability of Amazon Kendra
Currently, the search service supports industry-specific language from IT, healthcare, and insurance, plus energy, industrial, financial services, legal, media and entertainment, news, telecommunications, and more.
Amazon Web Services (AWS) has announced the general availability of Amazon Kendra, an enterprise search service powered by machine learning.
Amazon Kendra uses machine learning to allow organisations to index all of their internal data sources, make that data searchable, and allow users to get precise answers to natural language queries.
“Our customers often tell us that search in their organisations is difficult to implement, slows down productivity, and frequently doesn’t work because their data is scattered across many silos in many formats,” said Swami Sivasubramanian, Vice President, Amazon Machine Learning, AWS.
“Using keywords is also counterintuitive, and the results returned often require scanning through many irrelevant links and documents to find useful information.
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“Today, we’re excited to make Amazon Kendra available to our customers and enable them to empower their employees with highly accurate, machine learning-powered enterprise search, which makes it easier for them to find the answers they seek across the full wealth of an organisation’s data.”
Amazon Kendra encrypts data in transit and integrates with commonly used data repository types such as file systems, applications, Intranet, and relational databases, so developers can index their company’s content.
The search service provides a range of native cloud and on-premises connectors to data sources such as SharePoint, OneDrive, Salesforce, ServiceNow, Amazon Simple Storage Service, and relational databases.
It also reinvents enterprise search by allowing end-users to search across multiple silos of data using real questions and leverages machine learning models under the hood to understand the content of documents and the relationships between, according to the company.
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