Data/Big Data

Despite its accessibility, AI isn’t reaching much of the world. A new study from Columbia Business School shows that the uneven global spread of AI isn’t just about infrastructure or talent — it’s about who entrepreneurs choose to build for.

New Columbia Business School research shows Wikipedia’s most “ChatGPT-like” articles are drawing fewer visitors, a trend that could weaken the encyclopedia and the AI models that rely on it.

Statistical bias could be misleading your product and feature testing, according to research from Columbia Business School Professor Hannah Li, but solutions might be easier than you think.

Generative AI is revolutionizing market research by offering unprecedented ways to understand customers, assess competitors, and extend data-driven decision-making organizationally.

New Columbia Business School research reveals how analyzing real-time customer journey data — from search queries to filtering behavior — can predict preferences with remarkable accuracy, even without historical data.

AI is here to stay, and it's essential for us to continue experimenting and sharing insights to shape the future of business school education, says Professor Shivaram Rajgopal.

With key appointments and contrasting philosophies in play, voters face a critical choice on the future of competition policy, argues Professor Paola Valenti.

Professor Laura Veldkamp outlines the key issues to consider when evaluating the candidates’ approach to Big Tech and monopolies during this election season.

The pharmaceutical company leader praised AI for boosting productivity, but noted that it’s still “all about the people.”