Introduction
As a customer, utilizing Amazon Web Services (AWS) expertise is crucial for understanding and optimizing your environment’s operations.
Using AWS Generative AI Services
One way to streamline processes and derive actionable insights is by leveraging AWS generative artificial intelligence services such as Amazon Q Business.
Integration with IT Service Management
Integrating these insights with your IT service management system can empower you to implement recommendations effectively and maintain healthy AWS operations.
AWS Support Capabilities
AWS Support offers a range of capabilities to support the success and operational health of your AWS environments, including proactive planning, advisory services, automation, and cloud expertise.
Deploying Amazon Q Business
Learn how to deploy Amazon Q Business and ingest data from AWS Support cases, Trusted Advisor, and AWS Health to generate insights based on your support data.
Q Support Insights Solution
Discover the Q Support Insights solution provided in the code sample repository, enabling insights on your AWS Support datasets across various AWS accounts.
Steps for Deployment
Explore the high-level steps to deploy the solution, which includes setting up and configuring an Amazon Q Business application with crucial components in an automated manner.
Integrating ITSM System
Find out how to integrate your ITSM system with Amazon Q Business to enhance your support-related processes.
Support Collector Module
Learn about the Support Collector module, which collects and uploads support-related data to an S3 bucket for analysis using Amazon Q Business.
Testing and Usage
Discover how to test and use the Amazon Q Business web experience to ask support-related questions and retrieve performance recommendations.
Conclusion
By harnessing the power of generative AI services and leveraging support data insights, you can proactively address and optimize your AWS experience for long-term success.
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