AI & Machine Learning
Managing Technology for the Post-Digital Era
The post-digital tech wave — a powerful, integrated stack of technologies — is coming next.
The post-digital tech wave — a powerful, integrated stack of technologies — is coming next.
Brand collaborations can benefit both partners, but there are limits on how many can participate.
MIT SMR and BCG host a Twitter chat focused on the corporate adoption of AI.
As sports become ever more analytical, can there be such a thing as too much data?
Why do some business ecosystems dominate their markets over time while others fail?
Top-down management is good for building operational excellence but not rapid innovation.
Good culture is critical for striking the balance between strategic alignment and organizational agility.
AI can help you choose, measure, and prioritize the KPIs informing your strategy.
To make gender equality a reality, organizations need to look at values, not priorities.
Nine fast-moving megatrends are shaping where our world will be in 11 years.
Do these three key activities to become a better strategic leader.
Lessons on how to balance efficiency and innovation from NASA’s rebel innovators.
Companies should focus organizational energy on hypothesis testing rather than on goal setting.
A sports analytics look at how much credit to give a winning team’s coach.
The latest debate in baseball is whether out-getting can become more than a post-season fad.
A rigorous process for navigating strategic decisions can mitigate errors and improve judgment.
Before determining an ecosystem strategy, organizations must first shift to a new perspective and way of thinking.
The real opportunity for organizations goes beyond doing more of the same labor faster and cheaper.
Is China still an attractive growth opportunity for Western multinational companies?
A case study report from MIT SMR Connections and AWS shares how pioneering enterprises are using AI.