AI implementation strategies from MIT Sloan Management Review
Value creation is the true measure of successful AI implementation. It starts at proof of concept and considers AI’s impact on an industry, not just a company.
Value creation is the true measure of successful AI implementation. It starts at proof of concept and considers AI’s impact on an industry, not just a company.
Counterterrorism expert Humera Khan harnesses diverse perspectives to anticipate and prevent violent extremism via her think tank, Muflehun.
As AI systems become more capable, companies will need to think beyond individual tools and begin managing AI as a digital colleague — part of how teams, workflows, and business processes operate.
The telecom giant’s global CIO has insourced IT and focused on platform strategy.
Fintech — technology for financial services — encompasses lending, payments, investing, insurance, property management, risk assessment, and more.
J. Spencer Standish (1945) Professor of Management, Professor, Operations Management
After taking second place at the MIT $100K Entrepreneurship Competition Launch event in May, Inclusively.ai wants to make diversity, equity, inclusion, and belonging even more actionable.
The AI Risk Repository, a database of over 700 risks posed by AI, aims to provide a shared framework for monitoring and maintaining AI risk oversight.
New books this year include a retirement how-to, the reissue of a classic entrepreneurship guide, and a look back at the California energy crisis.
The age of agentic AI — systems that are semi- or fully autonomous and can act on their own — has arrived. Here’s what you need to know, according to MIT experts.