Faculty Expertise: Machine Learning
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Faculty Expertise: Machine Learning

At Kellogg, we believe human-machine partnerships spur innovation and creativity, scale human achievements, and drive innovative strategies in an increasingly complex business world. Explore how Machine Learning is transforming the business landscape (and beyond) with this collection of faculty insights.

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Machine learning: people and machines working side by side.
Data Analytics

Can Computers Make Us Better Thinkers?

IBM Watson creator David Ferrucci on the thought partnership at the heart of machine learning.

Your cell phone data and frequent call list can shed light on network epidemiology A.K.A the spread of disease.
Data Analytics

Using Cell Phone Data to Predict the Next Epidemic

Whom you call is linked to where you travel, which dictates how viruses spread.

A researcher uses big data to understand patterns
Data Analytics

Podcast: Think You Understand Why Ideas Go Viral? Big Data May Change Your Mind

From tweets to scientific discoveries, human behavior is surprisingly predictable.

Banks May Soon Use Our Facebook Friends to Assess Our Creditworthiness. Should We Worry?

Five things to keep in mind when considering how companies use social media data.

Computational social science seeks to use data to uncover universal facts.

The Ultimate Data Set

Computational social science aims to discover universal facts.


Watson Is Just the Beginning

How machine learning will change education, product development, and decision-making.

A man is in the wrong frame of mind to make a risk-related decision.

Ready to Make a Risky Decision? Your Words Suggest Otherwise

Mining digital communications for emotions can lead to better decisions.

A man and his coffee maker attend couples counseling.

Podcast: You Had Me at “Bleep Blorp”

How humans and robots are learning to trust each other.

How to Stop Worrying and Love the Robot That Drives You to Work

Discomfort about “botsourcing” can be reduced by manipulating the human-like attributes of machines.


How Diverse Should Your Team Be?

NBA data point to a sweet spot in balancing diversity and similarity of skills.

Build a Better Brainstorm

How to capture all the ideas in the room.