Data & Data Culture

A new survey reports companies are now seeing a direct correlation between big data and AI success.

Video: Two of the biggest barriers to corporate adoption of AI are access to talent and usable data.

Given the growing importance of data to companies, how should managers measure its value?

Business leaders need to prioritize effective, two-way communication with their data scientists.

Artificial intelligence helps doctors make better diagnoses. It can do the same for corporate leaders.

IoT-enabled devices are the new weakest link in data security — and companies need to address this now.

Small errors in data linkages can sometimes prove damaging — but not if managers watch for them.

Health care companies are using digital tools to put doctors’ focus back on patients.

Tough new EU data security laws mean that consumers’ data is about to become more valuable.

Though customer service is a key analytics focus, it offers potential for security improvements too.

It pays to ask yourself whether your job is common and repetitive enough to be done by a machine.

For companies relying on algorithms in daily transactions, transparency is a difficult issue.

Managers already struggle to put data to intelligent use; AI may add to their difficulty.

Large amounts of data don’t inherently remove sampling bias; in fact, they may make it worse.

The synergism of Big Data and artificial intelligence holds amazing promise for business.

Here are the essential elements of a transformative IoT strategy.

How AI affects organizations’ use of and relationship to time — in reacting, managing, and learning — may be a tough adjustment.

Providing up-front structure for data may reduce the need to process it — and limit distortions.

Subscription e-commerce uses AI to offer personalized, low cost, convenient products. It’s working.

Miscommunications between decision makers and data scientists are common. Enter the data translator.