DoorDash is both an online ordering and delivery company that’s using data to make delivery better and faster for customers and more efficient for delivery drivers. The company aggregates large volumes of delivery data and analyzes how different factors affect delivery […]
machine learning
Netflix – Using Metadata to Optimize Entertainment
Last night, I struggled to find a solid chick flick movie among several friends that none of us had seen. While scrolling through my Netflix account, there were specific recommendations based on other movies I had chosen. There were the […]
Medallia’s Approach to Customer Feedback Data
Medallia uses machine learning and regression to help its Fortune 1000 clients collect, analyze, and act on customer feedback – in turn increasing customer loyalty and spend. That value creation made this startup into one of Silicon Valley’s newest Unicorns.
Ayasdi: A New Way to Think About Data
Ayasdi helps companies understand the “shape” of their data to drive better predictive analysis.
Applied Materials- When machines talk to each other
Applied Materials is using machine learning and advanced statistical algorithms to improve semiconductor yields
Gmail: ensuring a spam-free inbox with Machine Learning
Gmail tirelessly improves its spam filters to identify exactly which messages shouldn’t make it to your inbox
The $1 Billion Agritech Company
How The Climate Corporation leveraged big data to revolutionize an industry
SmartMat – quantifying the unquantifiable
SmartMat allows the analytically-minded yogi to quantify yoga poses in the hopes of deepening his or her practice over time.
Airbnb Leverages Machine Learning to Maximize Host and Company Revenue
Airbnb, with its Price Tips pricing tool, is helping hosts better price their units to maximize rentals.
BigML – Early to the Party
How BigML is democratizing the tools of Big Data, making machine learning 'easy & beautiful.'