Data & Data Culture

Companies already use data to make marketing decisions. Will deep learning enable a leap forward?

A classic bar, line, or pie chart is often the best choice for communicating information.

To avoid bias, people-centered design principles must be the foundation of deep-learning algorithms.

Data and algorithms can mitigate gender bias in venture capital funding.

As AI becomes more ubiquitous, we need clear systems for keeping it in check.

New research by MIT SMR Connections and NETSCOUT reveals IT leaders’ data analytics priorities.

Smart machines can help pick crops and reduce traffic — but what’s their impact on privacy?

Organizations can benefit from four activities in their journey toward better digital trust.

How CIOs and analytics executives can work together to build cultures that trust data-driven investigation and insights.

It’s not enough to be right. You also have to sell your model or idea to have an impact.

If your industry faces disruption, first diagnose the volatility. Then act preemptively to disrupt your own career.

Join MIT SMR Connections and SAS for a Twitter chat on how to make sure your data is trustworthy.

An infographic highlights research findings on best practices underlying data-driven innovation.

New research by MIT SMR Connections and SAS reveals how organizations build trust in analytics.

AI-powered systems are joining humans in the workforce, with implications for management strategy.

We’re in the midst of a big data revolution, but not all companies are flourishing in this new era.

Cloud computing with rigid borders and boundaries will become a reality in the near term.

Data on its own has value, but insights from that data substantially increase its value.

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.