Organizations use messaging platforms like Slack to bring the right people together to securely communicate with each other and collaborate to get work done. A Slack workspace captures invaluable organizational knowledge in the form of the information that flows through it as the users collaborate. However, making this knowledge easily and securely available to users is challenging due to the fragmented structure of Slack workspaces. Additionally, the conversational nature of Slack communication renders a traditional keyword-based approach to search ineffective. You can now use the Amazon Kendra Slack connector to index Slack messages and documents, and search this content using intelligent search in Amazon Kendra, powered by machine learning (ML).

When you deploy intelligent search in your organization, two important factors to consider are access to the latest and most comprehensive information, and a contextual discovery mechanism. Many companies are still struggling to make their internal documents searchable in a way that allows employees to get relevant information knowledge in a scalable, cost-effective manner. A 2018 International Data Corporation (IDC) study found that data professionals are losing 50% of their time every week--30% searching for, governing, and preparing data, plus 20% duplicating work. Amazon Kendra is purpose-built for addressing these challenges. Amazon Kendra is an intelligent search service that uses deep learning and reading comprehension to deliver more accurate search results.

Unstructured data belonging to the enterprise continues to grow, making it a challenge for customers and employees to get the information they need. Amazon Kendra is a highly accurate intelligent search service powered by machine learning (ML). It helps you easily find the content you're looking for, even when it's scattered across multiple locations and content repositories. Amazon Kendra leverages deep learning and reading comprehension to deliver precise answers. It offers natural language search for a user experience that's like interacting with a human expert.