Data & Data Culture

An industry executive and a scholar discuss how AI-based tools can transform the retail business.

Prediction is appealing, but detection may be equally valuable for businesses.

Data best supports marketing when researchers fully understand what they want to measure and how.

Five steps to make sure your data and analytics efforts pay off in the long term.

Companies see investment in data capabilities as the only way to compete.

MIT SMR’s 2018 Data & Analytics Report finds a link between customer engagement and data analytics.

MIT SMR hosts a Twitter chat on analytics and customer service on March 1, 2018, at 11 a.m. EST #MITSMRChat.

Data audits may be helpful in maintaining balance between data-rich and data-poor companies.

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.