Managing Technology
Technology Innovation Strategy What We’ve Learned So Far About Blockchain for Business
First-generation blockchain applications are delivering value by removing friction in shared ecosystems.
Mary Lacity and Remko Van Hoek
Latest Insights from MIT SMR
Technology Innovation Strategy
How Machine Discovery Can Accelerate Solutions to Society’s Big Problems
Mark Purdy and Max Klymenko
Technology Innovation Strategy
What Is a Minimum Viable AI Product?
Thomas H. Davenport and Rudina Seseri
Video Mini Lessons
Technology Implementation
The Path to Digital Transformation
Whether your company was born digital or is just getting started on its path to digital transformation, these resources can help ensure alignment within your organization.
More Insights from MIT SMR
Technology Innovation Strategy
What Is a Minimum Viable AI Product?
There are differences between what constitutes a successful early AI pilot and success in other types of IT ventures.
Thomas H. Davenport and Rudina Seseri
Data & Data Culture
Empowering a Data Culture From the Inside Out
Transforming a company into a truly data-driven business involves fundamental organizational changes.
Jonathan Tudor, interviewed by Ally MacDonald
Collaboration
Our Guide to the Winter 2021 Issue
MIT SMR’s winter issue looks at why teams work (or don’t), plus innovation, supply chains, and data for AI.
MIT Sloan Management Review
Technology Implementation
The Data Problem Stalling AI
Data accessibility must be managed from the start of AI projects in order to be implemented in production.
Gregory Vial et al.
Technology Innovation Strategy
The Promise of Self-Sufficient Production
The pandemic has demonstrated the potential of self-sufficient production. Is this the future?
Joel Cutcher-Gershenfeld et al.
IT Governance & Leadership
Tech and Ethics: The World Economic Forum’s Kay Firth-Butterfield on Doing the Right Thing in AI
Business — and society — should think of the governance of AI as an enabler rather than a constraint.
Sam Ransbotham and Shervin Khodabandeh
Security & Privacy
Customer Experience Considerations for Tech Leaders
Tech leaders should consider data privacy and security issues while also maximizing customer experience.
Deborah O’Neill et al.
Analytics & Business Intelligence
Fashion Forecasting: Arti Zeighami on Implementing AI at H&M Group
The fashion retailer’s chief data and analytics officer uses agile pilots to assess and scale technology initiatives.
Sam Ransbotham and Shervin Khodabandeh
Technology Innovation Strategy
Better Together: Mattias Ulbrich on Combining Coffee, Business, and Technology at Porsche
Porsche is accelerating innovation by emphasizing the need for collaboration between humans and AI technology.
Sam Ransbotham and Shervin Khodabandeh
IT Governance & Leadership
To Succeed With Data Science, First Build the ‘Bridge’
To better align data teams with business operations, a new organizational structure is needed.