Predictive Analytics

UC Berkeley’s Ziad Obermeyer discusses how machine learning and AI are being used for medical research and diagnoses.

A Q&A with AWS’s Michelle K. Lee on the challenges and advantages of adopting machine learning.

Swarm systems draw input from individuals and use algorithms to optimize system performance in real time.

Counterpoints looks at predicting the college football playoffs with UW-Madison’s Laura Albert.

AI offers a helping digital hand to overburdened B2B marketing departments.

People are complex. We need a more nuanced approach to predicting job performance.

MIT professor Munther Dahleh proposes a marketplace for data that bases the cost of data on the financial value it generates

Health care companies are using digital tools to put doctors’ focus back on patients.

To fully benefit from supply chain analytics, companies need to be able to act on insights quickly.

Managers already struggle to put data to intelligent use; AI may add to their difficulty.

The 2017 Data & Analytics Report by MIT Sloan Management Review finds that companies that embraced analytics have begun to find new ways to derive strategic benefit from analytics.

For the IoT revolution to progress, data collection and data quality both must be greatly improved.

AI’s value for managers lies in its ability to predict equipment failures and assess human emotions.

What’s happening this week at the intersection of management and technology.

Industry expert Gerhard Kress discusses how the transportation industry is capitalizing on the opportunities that Internet of Things data offers.

What will happen to predictive analytics once everything is connected?

The overconfidence of presumed expertise is counterproductive. Instead, data trumps intuition.

Companies seeking to use analytics for predictive decision making commonly make these four errors.

New research suggests data science, predictive analytics and big data will transform supply chains.

Becoming an elite athlete can have as much to do with talent and skill as with experience and intuition. Data is increasingly part of that mix.