Data, AI, & Machine Learning
Leadership Skills The Simple Power of the Slow Reveal
Reveal data piece by piece instead of all at once to give it narrative structure — and meaning.
Nancy Duarte
Latest Insights from MIT SMR
Skills & Learning
A Third Path to Talent Development: Delta’s Michelle McCrackin
Sam Ransbotham and Shervin Khodabandeh
AI & Machine Learning
Will Generative AI Create a New Era of Search Competition?
MIT SMR Strategy Forum
New Product Development
Out of the Lab and Into a Product: Microsoft’s Eric Boyd
Sam Ransbotham and Shervin Khodabandeh
AI & Machine Learning
Smart Product Breakthroughs Depend on Customer Control
Jenny Zimmermann et al.
More Insights from MIT SMR
AI & Machine Learning
Helping Doctors Make Better Decisions With Data: UC Berkeley’s Ziad Obermeyer
UC Berkeley’s Ziad Obermeyer discusses how machine learning and AI are being used for medical research and diagnoses.
Sam Ransbotham and Shervin Khodabandeh
Innovation Strategy
Level Up to Strategic Data Sharing
Based on their research, the authors share four key ways companies can advance their strategic data-sharing initiatives.
Barbara H. Wixom et al.
Technology Implementation
Manage AI Bias Instead of Trying to Eliminate It
It’s impossible to abolish AI bias in the data behind artificial intelligence models, but companies can remediate it.
Sian Townson
Data & Data Culture
Action and Inaction on Data, Analytics, and AI
The human side of data continues to challenge companies.
Thomas H. Davenport and Randy Bean
Customers
Does AI Help Reduce Wasteful Holiday Gifting?
Strategy experts weigh in on the macroeconomics of using AI technology to match people to presents.
MIT SMR Strategy Forum
Data & Data Culture
How AI Is Improving Data Management
Artificial intelligence is quietly improving the management of data, including its quality and security.
Thomas H. Davenport and Thomas C. Redman
Talent Management
Our Guide to the Winter 2023 Issue
This issue of MIT SMR focuses on creating and managing successful, engaged teams in a pandemic-changed world.
MIT Sloan Management Review
AI & Machine Learning
When Algorithms Rule, Values Can Wither
Building responsible AI systems starts with recognizing that technology solutions implicitly prioritize efficiency.
Dirk Lindebaum et al.
Talent Management
How Encouraging AI Use Will Benefit Your Organization
In this webinar, we outline key findings from recent artificial intelligence and business strategy research, including that mandating individual use actually improves employee engagement across multiple dimensions.
Sam Ransbotham et al.
AI & Machine Learning
How to Build Good AI Solutions When Data Is Scarce
New data-efficient AI techniques can help when developers lack sufficient volumes of labeled training data.
Rama Ramakrishnan
Executive Guides
- Technology Ethics
- Leading Data & Analytics
- Data Strategy
IT Governance & Leadership
Building an Organizational Approach to Responsible AI
Kay Firth-Butterfield
Ethics
Designing Ethical Technology Requires Systems for Anticipation and Resilience
Kirsten Martin and Bidhan (Bobby) L. Parmar
Ethics
Why Building an Ethical Culture Must Start at the Top
Robert Chesnut, interviewed by Ally MacDonald
Executive Guides
- Technology Ethics
- Leading Data & Analytics
- Data Strategy
Data & Data Culture
Empowering a Data Culture From the Inside Out
Jonathan Tudor, interviewed by Ally MacDonald
Analytics & Business Intelligence
Leading With Decision-Driven Data Analytics
Bart de Langhe and Stefano Puntoni
Executive Guides
- Technology Ethics
- Leading Data & Analytics
- Data Strategy
IT Governance & Leadership
The Enterprise Systems That Companies Need to Create
David Waller and Paul Beswick
Analytics & Business Intelligence
Actioned Analytics Pave the Way to New Customer Value
Barbara H. Wixom and Gabriele Piccoli
Analytics & Business Intelligence
Getting Serious About Data and Data Science
Thomas C. Redman and Thomas H. Davenport
