6 steps for leading successful data science teams
To support data science teams, start by pointing them toward the right problem.
To support data science teams, start by pointing them toward the right problem.
Synthetic data offers the opportunity to test new ideas and develop new products without putting personal or health data at risk.
Artificial intelligence doesn’t have to trigger a loss of jobs and privacy, writes MIT economist Daron Acemoglu. But only if we modify our approach.
Here are four tenets from MIT Sloan on how to build a sustainable business practice.
New research casts into doubt the central storyline of 2008 — that this was ever a subprime crisis to begin with.
Online interface simulates 100 years of energy, land and climate data in less than one second to identify solutions to limit warming to within 2 degrees Celsius by 2100
How do generative AI model releases impact consumption expectations? New MIT Sloan research shows large, unexpected reactions in the bond market.
A customized search program helped low-income families find and move to good neighborhoods to raise their children.
Data science is exploding, but women hold just a quarter of jobs. Four women discuss career paths, mentorship, and the benefits of diverse views.
Six illustrations we loved this year.