Spotify has built hundreds of millions of personalized music experiences using generative algorithms, listening behavior, and deep pattern analysis. Discover how it turns data into delight—and keeps you coming back.
Discover how a team of mathematicians and logicians at Bletchley Park used data, pattern recognition, and early computing to crack the German Enigma code—shortening WWII by years and laying the groundwork for modern data science.
When Target used data to predict a customer’s pregnancy before her own father knew, it shocked the world—and changed how companies think about data ethics. This post explores how retail analytics can go too far, and what we can learn from it.
Amazon thrives not just on what it sells—but how it sells. With relentless customer obsession and a data-first culture, Amazon uses personalization, predictive analytics, and constant experimentation to serve over 375 million users—and grow faster every day.
Starbucks is often called “not a coffee company—but a data company.” With over 90 million transactions each week across thousands of stores globally, Starbucks has built a highly efficient and personalized operation powered by data and AI.
Ever wonder how Netflix always seems to know exactly what you want to watch? It’s not magic—it’s data. This post breaks down how Netflix uses data to personalize content, improve user experience, and build an entertainment empire that keeps you watching.
