AI & Machine Learning
Three Steps to Implement AI
#MITSMRChat participants shared ideas about best practices for organizations implementing AI.
#MITSMRChat participants shared ideas about best practices for organizations implementing AI.
As AI becomes more ubiquitous, we need clear systems for keeping it in check.
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?
How cities deal with AI-related changes will determine which ones will thrive in the future.
Platform markets are suddenly all the rage with B2B companies. And for good reason.
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.
A value chain lens reveals a growing cybercrime ecosystem and new strategies for combating it.
Defensive analytics are shaping how NBA basketball strategy is evolving.
Good culture is critical for striking the balance between strategic alignment and organizational agility.
Fifty years after Apollo 11, will commercial companies be the next big success for space activity?
Combining cutting-edge AI and MIT expertise, the Culture 500 provides a nuanced picture of corporate culture in the world’s top organizations.
Developing-world entrepreneurs need to build networks that compensate for weak public institutions.
The worlds of venture capitalism and corporate investing are not always easy to combine.
Counterpoints looks at predicting the college football playoffs with UW-Madison’s Laura Albert.
AI can help you choose, measure, and prioritize the KPIs informing your strategy.