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Fireside Chat: Scaling AI and Feature Experiments with LaunchDarkly, AWS & Gravity9

Presented by

Scott Shindeldecker - Experimentation Solutions Specialist, LaunchDarkly | Ayan Ray - Senior Partner Solutions Architect, Generative AI, AWS | Josh Blockwell - Product Owner, Gravity9

About this talk

Join experts from LaunchDarkly, AWS, and Gravity9 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
LaunchDarkly

LaunchDarkly

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The #1 Feature Management Platform
LaunchDarkly is a feature management platform that empowers all teams to safely deliver and control software through feature flags. By separating code deployments from feature releases, LaunchDarkly enables you to deploy faster, reduce risk, and iterate continuously. Microsoft, IBM, Atlassian, and 1000+ organizations use LaunchDarkly to build, operate, and learn from their software.
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