-
The Experience
-
About Stanford GSB
About Our Degree Programs
-
-
The Programs
-
Full-Time Degree Programs
Non-Degree & Certificate Programs
-
-
Faculty & Research
-
Faculty
Faculty Research
Research Hub
Centers & Institutes
-
-
Insights
-
Topics
-
-
Alumni
-
Welcome, Alumni
-
-
Events
-
Admission Events & Information Sessions
-
Big Data
Executive Education
Live Online Program
21 Jun 2021 – 02 Jul 2021
Live Online
Part-time
Latest Stories on Big Data
November 20, 2020
Artificial Intelligence, Cultural Diversity, and a Giant “Bag of Words”
How machine learning helped researchers sort through 500,000 Glassdoor reviews to weigh the benefits of workplace diversity.
November 20, 2020
The Research Revolution
Access to superabundant data has transformed the methods of scholastic inquiry — and possibly the basic tenets of inquiry itself.
November 11, 2020
Your Brand Needs Social Engagement
Connect with consumers in a personal way to extend the reach of your marketing.
July 29, 2020
When the Best AI Isn’t Necessarily the Best AI
Why organizations might want to design and train less-than-perfect AI.
March 16, 2020
The Future of Criminal Justice
A conference on prosecution reform through data discusses the challenges of culture change.
January 31, 2020
The New Emerging Role in Big Tech? Economists
To maximize the potential of big data, firms are looking for employees with a new skill set.
January 16, 2020
Machine Learning and AI for Social Impact
Innovations developed at big tech firms could transform the nonprofit world, with a little help from academia.
December 10, 2019
Where the Bidding Never Stops
Millions of online ads get sold by auction each day. The algorithms behind it all are complicated. But simple ideas can be effective.
November 7, 2019
Exploring the Human Side of Artificial Intelligence
At an AI forum, experts say the arrival of superhuman machine intelligence will be one of the biggest events in human history.
October 28, 2019
Big Data and Racial Bias: Can That Ghost Be Removed from the Machine?
Credit-market algorithms may violate anti-discrimination laws even when they’re designed not to. A Stanford researcher looks for a fix.