How to set technology strategy in the age of AI
As artificial intelligence takes off, all companies should be thinking about value creation, value capture, and value delivery.
As artificial intelligence takes off, all companies should be thinking about value creation, value capture, and value delivery.
Workforce ecosystems tap into the power of people, partners, and technologies, but they can be tricky to manage. This orchestration framework can help.
A roundup of actionable steps and useful advice from MIT Sloan to help managers lead purpose-driven organizations.
A roster of artificial intelligence experts calls for an international body to better identify the risks, opportunities, developments, and possible global effects of AI.
This Hot Labor Summer, workers are demanding not just increased wages, but what labor expert Thomas Kochan calls “a new social contract.”
Before it’s in the boardroom, it’s on the syllabus at MIT Sloan — from tough tech ventures to the science of well-being.
MIT Sloan research finds that female STEM doctoral students are less likely to become new inventors compared to their male counterparts during the years of their training.
Highlights from Gary Gensler and Lily Bailey’s “Deep Learning and Financial Stability” outline five ways AI could lead to future financial crises.
New research identifies four types of business-to-business platforms and three ways they can think about success.
Generative artificial intelligence raises novel legal questions about data use and how content will be regulated. A law partner offers guidance.