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Amazon Kendra is an intelligent search service powered by machine learning, enabling organizations to provide relevant information to customers and employees, when they need it. Starting today, AWS customers can use the Amazon Kendra connectors for the following 11 databases, Aurora (MySQL Compatible), Aurora (PostgreSQL Compatible), RDS (MySQL), RDS (PostgreSQL), RDS (Oracle), RDS (Microsoft SQL Server), MySQL, PostgreSQL, Oracle, Microsoft SQL Server and DB2 to index and search messages from these data sources. View the full article
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Amazon Kendra is an intelligent search service powered by machine learning, enabling organizations to provide relevant information to customers and employees, when they need it. Starting today, AWS customers can index documents of additional data types in addition to the five types previously supported. View the full article
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Amazon Kendra is now authorized as FedRAMP High in AWS GovCloud (US-West) Region. Amazon Kendra is a highly accurate intelligent search service powered by machine learning. Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content repositories within your organization. View the full article
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Today, Amazon Web Services (AWS) announced Amazon Kendra, an intelligent search service powered by machine learning, can now be used for workloads subject to International Organization for Standardization (ISO) and Payment Card Industry Data Security Standard (PCI DSS) compliance. This is in addition to eligibility for U.S. Health Insurance Portability and Accountability Act (HIPAA), announced by Amazon Kendra previously. View the full article
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Amazon Kendra is a highly accurate and easy to use intelligent search service powered by machine learning. Starting today, AWS customers can automatically index and search content that is contained in Confluence Cloud repositories using Kendra's new built-in Confluence Cloud connector. View the full article
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