How to succeed with industrial AI
Applying systems dynamics principles to industrial AI can ensure faster and more impactful business outcomes.
Applying systems dynamics principles to industrial AI can ensure faster and more impactful business outcomes.
New research highlights four areas leaders must address as they embed AI across their business.
New research from MIT Sloan shows that companies can see substantial gains by putting AI to work — with that growth translating into jobs.
Tariffs, sanctions, export controls, and industrial policies now shape how companies hire talent, build supply chains, and choose markets.
How do generative AI model releases impact consumption expectations? New MIT Sloan research shows large, unexpected reactions in the bond market.
A new report from MIT shows companies remain committed to supply chain sustainability. Policy and freight decarbonization are emerging priorities.
Companies that act on input from front-line employees pay their workers more and experience a productivity bump that offsets those costs.
We are in the fourth wave of artificial intelligence. In his new book, Alex Pentland says understanding AI from the 1960s, 1980s, and 2000s can help us develop technology that supports shared wisdom.
A study found that trained LLMs can identify what customers want as well as expert market reach analysts, who are freed up to apply their expertise to high-leverage tasks.
Three AI implementation guides from MIT provide research-based insights on AI maturity, which AI tool to use, and the human capabilities that will be even more essential in the future.