Ideas and insights about technology from MIT Sloan.
Artificial intelligence can design more appealing cars
Carmakers can spend $3 billion on a single design. Machine learning models can streamline the process — and bring fewer duds to market.
Do we need a US Department of Water?
A national water strategy would help the U.S. manage outdated infrastructure and adopt desalination technology, argues water entrepreneur Aaron Mandell.
5 ways to scale digital initiatives
Build business commitment, provide shared technology, and streamline handoffs to increase the odds of success.
What is synthetic data — and how can it help you?
Synthetic data offers the opportunity to test new ideas and develop new products without putting personal or health data at risk.
Employees more likely to second-guess interpretable algorithms
New research shows that people are more likely to trust complicated machine learning models over models that they’re able to understand and troubleshoot.
Why investors should look at ‘tough tech’
Tough tech, which applies science and technology to the world’s biggest problems, is redefining industries.
What Web3 means for businesses
Capitalizing on Web3 may not be all that different from adapting to the virtual communities that emerged from Web2, one expert argues.
3 corporate innovation mistakes and how to avoid them
MIT Sloan’s Phil Budden offers tips to avoid confusing technology with innovation, trying for 10X when 10% will do, and ineffective external engagement.
The business case for blockchain
Blockchain adoption hinges on finding the right use cases, creating a strategy and focus, and galvanizing staff.
Report finds employees embrace AI when they see its value
A new study from MIT Sloan Management review finds many employees use AI without realizing it — and without realizing how it benefits them.