Talent Management
How Managers Can Enable AI Talent in Organizations
A successful AI-enabled workforce requires key hiring, training, and risk management considerations.
Data Science
Latest
Analytics & Strategy
The Best of This Week
Shareholders and stakeholders, data science’s pandemic shift, and combating workplace discrimination.
The MIT SMR Editors
Analytics & Performance
Data Science, Quarantined
Companies are beginning to reboot their machine learning and analytics, disrupted by the global pandemic.
Jeffrey D. Camm and Thomas H. Davenport
Leading Change
The Best of This Week
How U.S. companies are commemorating Juneteenth; what a 2020 recession may mean for data analytics.
The MIT SMR Editors
Analytics & Organizational Culture
The Recession’s Impact on Analytics and Data Science
There has been a huge demand for data scientists in the past decade. Is that about to change?
Jeffrey D. Camm, Melissa R. Bowers, and Thomas H. Davenport
Analytics & Organizational Culture
Want to Make Better Decisions? Start Experimenting
It’s early in the age of experimentation — and the right time to start building expertise.
Michael Luca and Max H. Bazerman
Talent Management
Solving the Advanced Analytics Talent Problem
To solve the issue of advanced analytics talent concentration, companies need to think creatively.
Chris Brahm
Analytics & Performance
Why Sports Is a Great Proving Ground for Management Ideas
Five essential management practices illustrated through the lens of sports analytics.
Paul Michelman
Analytics & Performance
The Secret of My eSports Success
People analytics is at the heart of eSports success.
Ben Shields and Paul Michelman
Analytics & Strategy
The Perils of Applying AI Prediction to Complex Decisions
Artificial intelligence may look poised to tackle tricky business decisions — but it only works for certain sorts of problems.
Susan Athey, interviewed by Frieda Klotz
Leading Change
The Surprising Value of Obvious Insights
Confirming what people already believe can sometimes help organizations overcome barriers to change.
Adam Grant
Big Data
Using Data Science to Avoid Global Pricing Chaos
Five steps to make sure your data and analytics efforts pay off in the long term.
Andrea Marron
Executing Strategy
Artificial Intelligence in Business Gets Real
The 2018 Artificial Intelligence Report by MIT SMR shows early leaders pushing forward with an eye toward scale.
Sam Ransbotham, Philipp Gerbert, Martin Reeves, David Kiron, and Michael Spira
Analytics & Performance
The Big Impact of Small Data Errors
Small errors in data linkages can sometimes prove damaging — but not if managers watch for them.
Sam Ransbotham
When People Don’t Trust Algorithms
University of Chicago’s Berkeley Dietvorst explains why we can’t let go of human judgment — to our own detriment.
Berkeley J. Dietvorst, interviewed by Paul Michelman
Analytics & Strategy
Analytics as a Source of Business Innovation
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.
Sam Ransbotham and David Kiron
Analytics & Organizational Culture
Why Your Company Needs Data Translators
Miscommunications between decision makers and data scientists are common. Enter the data translator.
Chris Brady, Mike Forde, and Simon Chadwick
Analytics & Performance
Duped by Data
A series of small errors in data can lead to major mistakes.
Sam Ransbotham
Big Data
Why Big Data Isn’t Enough
Technology innovators should be wary of letting big data speak for itself.
Sen Chai and Willy Shih
Analytics & Organizational Culture
Lessons from Becoming a Data-Driven Organization
Case studies from a range of businesses highlight how analytics requires organizations to evolve.
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