Data, AI, & Machine Learning

Managers have an increasing appetite for analytics, according to a 2013 MIT Sloan Management Review / SAS survey.

Three recent books offer expert perspectives on the increasing power and importance of analytics.

Outsourcing analytics can offer benefits, but it requires a carefully constructed relationship.

It’s the early days of a data revolution — but even so, not every decision should be data-driven.

New research suggests data science, predictive analytics and big data will transform supply chains.

Looking at data through a predictive analytics lens? What due process could mean for you.

Big Data only transforms companies when they become data-friendly via evidence-based management.

A recent survey sheds light on what large organizations are actually doing with big data initiatives.

Stanford Law Review warns against Big Data’s potential for abuse.

Just what are algorithms, how are they used, and what happens when influential algorithms go wrong?

Smart cities, and opportunities as part of their development, abound. The question is, at what cost?

Pilio CEO Catherine Bottrill explains how pairing behavioral science with energy analytics can manage energy use.

Google and the U.S. government are uneasy dance partners when it comes to data and privacy.

Social media and digital advertising are colliding. Could this lead to market manipulation?

Recommendation engine StyleSeek is relying on data to drive business decisions — every single one of them.

Deepak Agarwal, LinkedIn’s director of relevance science, details how his company uses data and analytics.

The new world of omnichannel retailing includes physical, online and mobile channels.

The promise of an EU project is linked information about markets, trends, competitors, products and consumers.

Will consumers start to resist data-sharing, or is it inevitable that we’re moving into a new era of diminished privacy?

Q&A with Caesars’ chief analytics officer on centralizing the company’s analytics functions.