COVID-19 is upending data analytics practices, sidelining predictive analytics, and driving firms to external data and other economic indicators.
Machine learning success starts with a strong data strategy, the right business use cases, and patience.
At Ceres, Chris Fox leads collaborative, goal-based work with investors to limit global warming.
An MIT graduate, Rosenfield is remembered for his passion for manufacturing and commitment to his students.
To jump-start sustainable investing, make sure investor goals are aligned, refresh outdated mental models, and standardize how impact is ranked and measured.
A new book explores how game theory explains seemingly irrational behavior, from tastes in food to how people donate to charity.
Lenora Suki turns to impact-oriented, sustainable investors for inspiration, feedback, and collaboration.
From designing and creating environmentally sound materials to fostering connections between organizations and inclusivity experts, ventures founded and managed by MIT and MIT Sloan alumnae are making positive impacts on the world.
To improve outcomes for patients, the Inherited Cardiac Arrhythmia Program at BCH asked H-Lab to assess the economic value of postmortem genetic testing after sudden cardiac death (SCD).
Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.
