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AI Experimentation: How to optimize the performance of AI-powered features using Statsig (Webinar Recording)

Blog post from Statsig

Post Details
Company
Date Published
Author
Morgan Scalzo
Word Count
260
Company Posts That Month
7
Language
English
Hacker News Points
-
Post removed?
No
Summary

In recent months, there has been a significant increase in discussions about AI experimentation, leading to a deeper exploration of how such experimentation can enhance AI feature development. Statsig offers tools like Statbot to facilitate AI app experiments, providing guidance on recording key model metrics and making data-driven decisions based on performance analysis. The Learning Lab covers topics such as CUPED, a method designed to accelerate experiments and reduce bias, as well as insights from experts Ronny Kohavi and Allon Korem on fostering a strong experimentation culture. Historical shifts in product strategies, influenced by A/B testing and platforms like Optimizely and Facebook, are also discussed, alongside personal experiences at Statsig that highlight its unique culture and innovative projects. The emphasis remains on A/B testing as the most reliable method to gather evidence, catering to both seasoned and novice experimenters.

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