Here's a detailed summary of the key points from the video transcription, broken down into sections:
Introduction
- The speakers, Victoria and Linda, met at AWS re:Invent 2023 and started collaborating on organizing technical events.
- They want to share their insights on building community and leveraging generative AI to amplify their efforts.
Generative AI on AWS
- AWS provides a stack for building generative AI applications:
- Efficient infrastructure for training models
- Bedrock service for accessing foundation models
- Generative AI applications like Amazon QuickSight Business
- The focus today is on Amazon QuickSight Business, which allows integrating your own data sources.
Identifying Event Locations
- To find AWS user groups and partners in California, the team:
- Scraped the AWS user group directory using a custom Lambda function and S3 connector
- Used a web crawler to scrape AWS partner data, handling dynamic content and unstructured data
Identifying Speakers
- Leveraged the AWS Community Builder and Hero data, as well as the AWS Sessions speaker directory
- Concatenated data from various sources into a natural language description to improve integration with Amazon QuickSight Business
Identifying Event Dates
- Analyzed AWS events and Meetup.com data to avoid scheduling conflicts
- Used web scraping and the YouTube API to gather relevant information
Promoting the Event
- Utilized the AWS Events YouTube channel and the AWS Community Blog to gather content and tone for event promotion
- Created an Amazon QuickSight Business app to streamline the event planning and promotion process
Key Takeaways
- Establish a specific use case and comprehensive data strategy for generative AI
- Ensure compliant AI implementation by checking data sources and permissions
- Provided resources for getting started, including a GitHub repository and a workshop on building generative AI apps with Amazon QuickSight Business