Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.
Nellwyn Thomas discusses how Etsy is using A/B testing, how Etsy's data-driven culture has evolved over time and how continuous delivery and big data can coexist.
Andrea Burbank discusses the evolution of Pinterest's A/B testing platform and how one can learn from their mistakes to go from simply running experiments to actually deriving insights.
Danielle Jabin shares some of Spotify's key takeaways from their A/B testing efforts and the challenges they faced in building out their A/B testing infrastructure.
Wil Stuckey explains how Etsy manages to deploy nearly ~10,000 changes in one year, and how they run A/B experiments in the midst of continual code change.