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.
This collection of prompt templates functions like cognitive scaffolding, providing structure without limiting options as you innovate.
A new report from MIT shows companies remain committed to supply chain sustainability. Policy and freight decarbonization are emerging priorities.
Here’s what two MIT business analytics students learned in the new From Analytics to Action class.
Digital platforms have already changed how value is created and exchanged. Their next wave — spanning physical assets, AI, and automation — promises new efficiencies but also new risks.
Ross, who joined MIT Sloan in 1997, relished the practical use of finance theory.
MIT researcher argues for a response that goes beyond fighting AI with AI.
Companies that act on input from front-line employees pay their workers more and experience a productivity bump that offsets those costs.
Three approaches to acquiring generative AI solutions for your company, and how to choose the right one.
When presented with the same prompt in different languages, generative AI provides culturally distinct responses.