Data, AI, & Machine Learning
Automation How to Establish an Automation Center of Excellence
A dedicated team can help maximize the utility — and competitive advantage — of automation systems.
Thomas H. Davenport and Gina Schaefer
Latest Insights from MIT SMR
Automation
How to Establish an Automation Center of Excellence
Thomas H. Davenport and Gina Schaefer
Technology Innovation Strategy
Embracing AI When Your Industry Is in Flux
Thomas H. Davenport and Randy Bean
- Leading Data & Analytics
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
- Data Strategy
- 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
More Insights from MIT SMR
Technology Innovation Strategy
Embracing AI When Your Industry Is in Flux
Dramatic changes within the life sciences industry present unique opportunities to use AI.
Thomas H. Davenport and Randy Bean
AI & Machine Learning
Business Scents: The Rise of Digital Olfaction
Two new branches of digital olfaction technology could help companies use smells to improve the customer experience.
Mark Purdy et al.
Technology Innovation Strategy
Creating Valuable (and Trusted) Experiences With Digital Personas
The technology for creating deepfakes offers the potential for companies to build positive customer experiences.
Sanjay Podder et al.
IT Governance & Leadership
Designing a Better Future: Mastercard’s JoAnn Stonier
JoAnn Stonier, chief data officer at Mastercard, discusses how design thinking enables better AI implementation.
Sam Ransbotham and Shervin Khodabandeh
Data & Data Culture
Why Less Is More in Data Migration
To make data migration more effective, start with a minimum set of viable data, leave out nice-to-have data, and weigh speed vs. quality.
Konstantinos Varsos et al.
Platforms & Ecosystems
Learning, Engagement, and Empowerment: 1-800-Flowers’ Amit Shah
Amit Shah, president of 1-800-Flowers, explains why lifelong learners are the best technical talent.
Sam Ransbotham and Shervin Khodabandeh
Talent Management
When You Reject People, Tell Them Why
Employers can vet people more ethically and accurately with explainable AI.
Tomas Chamorro-Premuzic
Collaboration
Games, Teams, and Moonshots: Google Cloud’s Will Grannis
Will Grannis of Google Cloud explains the organization’s collaborative approach to AI and machine learning innovation.
Sam Ransbotham and Shervin Khodabandeh
Data & Data Culture
Experiments and Data for Post-COVID-19 Work Arrangements
Testing can guide decisions such as who needs to work in an office and what work hours are optimal.
Thomas H. Davenport and Thomas C. Redman
Skills & Learning
How HR Leaders Are Preparing for the AI-Enabled Workforce
Companies are taking different approaches to preparing their workers for the digital future.