Products fueled by data and machine learning can be a powerful way to solve users’ needs. They can also create a “data moat” that can help stave off the competition. Classic examples include Google search and Amazon product recommendations, both of which improve as more users engage. But the opportunity extends far beyond the tech giants: companies of a range of sizes and across sectors are investing in their own data-powered products. At Coursera, we use machine learning to help learners find the best content to reach their learning goals, and to ensure they have the support — automated and human — that they need to succeed.
How to Build Great Data Products
Focus on solving core user needs.
October 30, 2018
Summary.
Products fueled by data and machine learning can be a powerful way to solve users’ needs and stave off competition. Classic examples include Google search and Amazon product recommendations, but the opportunity extends far beyond the tech giants. To tackle the challenge, companies should emphasize cross-functional collaboration, evaluate and prioritize data product opportunities with an eye to the long-term, and start simple.