Fireside Chat: Scaling AI and Feature Experiments with LaunchDarkly, AWS & Gravity9
Build Smarter, Ship Faster — with Confidence
About this webinar
Join experts from LaunchDarkly, c for a deep-dive fireside chat on how to bring experimentation and feature delivery together to power smarter, data-driven decisions at scale.
Whether you're just starting to explore experimentation or looking to level up your current strategy, this session will give you the tools and insight to make it a core part of your development workflow.
Don’t miss this opportunity to learn how top tech teams are unifying experimentation, AI, and feature delivery to ship faster and smarter.
We’ll cover:
- How to scale experimentation programs across teams and environments
- Integrating feature flags with data pipelines for real-time analysis
- Best practices for experiment design, tracking, and analysis
- Exploring AI configuration testing using AWS Bedrock
- Leveraging Snowflake Warehouse Native Experimentation
- Real-world lessons from engineering and product leaders
Plus, we’re giving away £50 Amazon gift cards to ten lucky attendees. Register and attend for your chance to win!*
*Must attend this webinar for a chance to win. LaunchDarkly will give away ten (10) GBP £50 Amazon Gift Cards to participants that register with a valid email address before June 17, 2025 and attend the webinar on June 17, 2025 ("Participants"). Limit one entry per person. Prizes will be emailed directly to winners. Open only to legal residents of the UK and EU who are 18 or older (or the age of majority in their state or country of residence, whichever is older) as of the webinar. LaunchDarkly, AWS, and Gravity9 employees, contractors, and agents are not eligible to win. Winners will be selected at random within three (3) business days following the webinar and notified via email. Odds of winning depend on the number of eligible entries received. Each prize has an approximate retail value of GBP £50. Void where prohibited or restricted by law or Participants employed in any company that has a policy against and/or legally prohibits participation in the awarding of prize/award to an employee.
