Why Most AI Projects Fail—And How To Build One That Succeeds

When companies focus on practical, user-centered implementation, AI can stop being an experiment and start having a real impact.
The Economist

AI models are being prepared for the physical world

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...
The Economist

To navigate physical spaces, AIs need world models

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...
MIT Technology Review

Using big data for good

In pet genetics, cancer research, and beyond, Charlie Lieu, MBA ’05, SM ’05, has spent her career harnessing massive data ...
Investopedia

Positive Economics History, Theory, Pros and Cons, and Example

Christina Majaski writes and edits finance, credit cards, and travel content. She has 14+ years of experience with print and digital publications. Robert Kelly is managing director of XTS Energy LLC, ...
Investopedia

Understanding Simple Random Sampling: Key Advantages and Limitations

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. Robert Kelly is managing director of XTS Energy LLC, and has more ...