Organizations use agile project management platforms such as Atlassian Jira to enable teams to collaborate to plan, track, and ship deliverables. Jira captures organizational knowledge about the workings of the deliverables in the issues and comments logged during project implementation. However, making this knowledge easily and securely available to users is challenging due to it being fragmented across issues belonging to different projects and sprints. Additionally, because different stakeholders such as developers, test engineers, and project managers contribute to the same issue by logging it and then adding attachments and comments, traditional keyword-based search is rendered ineffective when searching for information in Jira projects.
You can now use the Amazon Kendra Jira cloud connector to index issues, comments, and attachments in your Jira projects, and search this content using Amazon Kendra intelligent search, powered by machine learning (ML).
This post shows how to use the Amazon Kendra Jira cloud connector

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