GlobalXperts – Amazon Q
Table of Contents
Introduction
Your business expert that can help you solve problems, generate content, find insights in data, and take actions based on your company’s data, information, and systems
- Is an expert in your organization’s knowledge: You can make Amazon Q an expert in your organization’s knowledge and experience by pointing it at your internal data repositories, as well as connect to more than 40 enterprise systems—including Amazon Simple Storage Service (Amazon S3), Salesforce, Google Drive, Microsoft 365, ServiceNow, Gmail, Slack, Atlassian, and Zendesk—to help people across your organization easily get the answers they need, make faster decisions, synthesize new information, and lift out of the drag of repetitive tasks.
- Understands your users’ permissions: Amazon Q connects to your identity provider to understand your users and their permissions so they can ask detailed, nuanced questions and get relevant results that only include information they have access to.
- Get crisp, relevant answers based on your business data: Employees can ask Amazon Q about anything they might have previously had to search for (such as, “What are the latest guidelines for logo usage?” or “How do I apply for a company credit card?”) and get fast answers plus links to the relevant sources of that information.
- Streamlines day-to-day communications: Just ask, and Amazon Q can generate content (“Create a blog post and three social media headlines announcing the product described in this documentation”), create executive summaries (“Write a summary of our meeting transcript with a bulleted list of action items”), and much more (“Draft an email highlighting our Q3 training programs for customers in India,” or “Create a meeting agenda to talk about the latest customer satisfaction report”).
- Completes your tasks: Amazon Q can help complete certain tasks, reducing the amount of time employees spend on repetitive work like filing tickets. Ask Amazon Q to “Summarize customer feedback on the new pricing offer in Slack,” and then request that Amazon Q take that information and open a ticket in Jira to update the marketing team. Or, “Summarize this call transcript,” and then “Open a new case for Customer A in Salesforce.”
- Enables enterprise guardrails: Admins can apply guardrails like restricting sensitive topics, blocking keywords, and filtering out inappropriate language.
- Available through a web application or your existing applications: The Amazon Q chat interface is available through your own tailored Amazon Q application, or it can be embedded into existing applications like Slack.
- Entitles you to use Amazon Q in QuickSight: Includes Amazon Q in Amazon QuickSight, our popular business intelligence (BI) service.
- Discovers new insights in your data: Ask Amazon Q questions about your dashboard like, “Why did the number of orders increase last month?” or “What were the sales in California last months?” and receive visualizations and a narrative summary with the drivers of the increase.
- Summarizes trends in your dashboard: Amazon Q helps you capture key trends, challenges, and outliers from your data with just a glance by automatically preparing executive summaries that describe the changes in your data over time.
- Creates data stories from a simple request: Share insights by creating compelling data stories in minutes. Just ask Amazon Q to “Build a story about how the business has changed over the last month for a business review with senior leadership.”
Amazon Q - Connecting to Data Sources
Here are the basic steps to set up Amazon Q to index files and connect to databases: [1]
To index files, you first need to configure an Amazon Q data source. This involves providing information like the file path, file types to index, and how
to extract text and metadata from the files.You can configure Amazon Q to crawl a file share regularly to keep the index up todate as files are added or
modified.
to extract text and metadata from the files.You can configure Amazon Q to crawl a file share regularly to keep the index up todate as files are added or
modified.
To connect to databases, you similarly need to configure a data source in Amazon Q. The configuration will be different depending on the database –
for example connecting to an Amazon RDS MySQL database vs an on-Premises SQL Server database. In general you need to provide connection details like the host, port, username/password, and specify things like the database/table names to index. [2]
for example connecting to an Amazon RDS MySQL database vs an on-Premises SQL Server database. In general you need to provide connection details like the host, port, username/password, and specify things like the database/table names to index. [2]
Amazon Q supports connecting to many common databases out of the box including MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, Elasticsearch and
more.Thedocumentationprovidesstep-by-stepinstructionsforconnectingeachone.[3]
more.Thedocumentationprovidesstep-by-stepinstructionsforconnectingeachone.[3]
Once your data sources are configured, you can sync the data which will crawl/ingest the files and query the databases to build the initial Amazon Q index.
After that ,Amazon Q will continue to monitor for changes and automatically update the index.
After that ,Amazon Q will continue to monitor for changes and automatically update the index.