Video description
Chris Boyd and John Wiley explain how the Wall Street Journal uses machine learning and a proprietary algorithm to predict the likelihood for someone subscribing, which in turn dictates the paywall experience that customer receives.
Product information
- Title: How the Wall Street Journal uses Machine Learning to predict lead conversions
- Author(s):
- Release date: June 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920424000
You might also like
video
How the Washington Post uses machine learning to predict article popularity
Predicting which stories will become popular is an invaluable tool for newsrooms. Eui-Hong Han and Shuguang …
video
Business Forecasting with AI at Fluidly: Building an intelligent cashflow engine
Cashflow is responsible for 80–90% of UK SME failure. Fluidly uses the wealth of financial data …
video
Machine Learning for analyzing major datasets to create automated educational tools for young poets by Power Poetry
Power Poetry is the largest online platform for young poets, with over 350K users. Ann Nguyen …
video
How Verint is designing AI strategies and utilizing data for increased ROI
AI is transformative for business, but it’s not magic; it’s data. Joe Dumoulin shares how Next …