Computing
Ideas and insights about computing from MIT Sloan.
Why Agile is a poor fit for the platform marketplace
Agile was supposed to revolutionize how companies operate, but it’s fundamentally mismatched with the complex world of platform markets, says digital economy specialist Georg Rilinger.
The rise of smaller ‘meek models’ could democratize AI systems
AI systems built or run with limited resources could soon perform on par with leading larger models while costing much less, according to new research.
Why aren’t AI open models more widely used?
Open-source and open-weight AI models perform well and cost less — but users opt for closed models 80% of the time, according to new research.
Quantum computing reality check: What business needs to know now
Commercial quantum computing is now years, rather than decades, away. It’s time for business leaders to start tracking its evolution.
Quantum report charts growing business interest, varied public awareness
Quantum computing is being mentioned more often in company earnings calls and public documents as industry and government leaders’ interest in the technology grows.
Prompt engineering is so 2024. Try these prompt templates instead
This collection of prompt templates functions like cognitive scaffolding, providing structure without limiting options as you innovate.
New MIT report captures state of quantum computing
The “Quantum Index Report” is a comprehensive assessment of the technology and the global landscape, from patents to the quantum workforce.
Quantum computing: What leaders need to know now
A framework from MIT researchers can help businesses anticipate when quantum computing might be useful — and when it might not.
10 startups harnessing the power of AI
These 10 startups are using artificial intelligence and machine learning to accelerate digital transformation.
Here are the 4 new faculty members joining MIT Sloan in 2023
Faculty joining MIT Sloan in 2023 are experts in energy markets, machine learning, health care economics, and decision-making.