Managing Technology
Technology Innovation Strategy The Incumbent’s Deep Tech Strategy Playbook
The authors created a three-step framework aimed at helping leaders at incumbent companies identify and execute their deep-tech engagement strategies.
François Candelon, Vinit Patel, Max Männig, and John Paschkewitz
Latest Insights from MIT SMR
IT Governance & Leadership
Are Responsible AI Programs Ready for Generative AI? Experts Are Doubtful
Elizabeth M. Renieris et al.
AI & Machine Learning
AI Is Helping Companies Redefine, Not Just Improve, Performance
Michael Schrage et al.
IT Governance & Leadership
Responsible AI at Risk: Understanding and Overcoming the Risks of Third-Party AI
Elizabeth M. Renieris et al.
Key Tech Issues Facing Managers
- Adopting Emerging Technologies
- Managing Technology Risks
- Transforming Your Organization
Technology Innovation Strategy
It’s Time to Take Another Look at Blockchain
Ravi Sarathy, interviewed by Theodore Kinni
Data & Data Culture
Action and Inaction on Data, Analytics, and AI
Thomas H. Davenport and Randy Bean
Technology Implementation
The Business Case for Blockchain in the Enterprise
Ravi Sarathy and Abbie Lundberg
Supply Chains & Logistics
Unlocking the Potential of Digital Twins in Supply Chains
Özden Tozanli and Maria Jesús Saénz
AI & Machine Learning
What Machines Can’t Do (Yet) in Real Work Settings
Thomas H. Davenport and Steven M. Miller
Technology Innovation Strategy
Becoming an ‘AI Powerhouse’ Means Going All In
Thomas H. Davenport and Randy Bean
Key Tech Issues Facing Managers
- Adopting Emerging Technologies
- Managing Technology Risks
- Transforming Your Organization
IT Governance & Leadership
Are Responsible AI Programs Ready for Generative AI? Experts Are Doubtful
Elizabeth M. Renieris et al.
IT Governance & Leadership
Responsible AI at Risk: Understanding and Overcoming the Risks of Third-Party AI
Elizabeth M. Renieris et al.
AI & Machine Learning
Smart Product Breakthroughs Depend on Customer Control
Jenny Zimmermann et al.
Key Tech Issues Facing Managers
- Adopting Emerging Technologies
- Managing Technology Risks
- Transforming Your Organization
IT Governance & Leadership
Are Responsible AI Programs Ready for Generative AI? Experts Are Doubtful
Elizabeth M. Renieris et al.
Data & Data Culture
Action and Inaction on Data, Analytics, and AI
Thomas H. Davenport and Randy Bean
Data & Data Culture
Developing Successful Data Products at Regions Bank
Thomas H. Davenport and Randy Bean
More Insights from MIT SMR
Security & Privacy
From ChatGPT to HackGPT: Meeting the Cybersecurity Threat of Generative AI
Hackers can use generative AI to plan more effective attacks, but companies can use it to strengthen their cyberdefenses.
Karen Renaud et al.
Platforms & Ecosystems
Making 600 Billion Decisions With AI: Expedia Group’s Rathi Murthy
On the Me, Myself, and AI podcast, Expedia Group’s Rathi Murthy discusses how AI is changing the travel industry.
Sam Ransbotham and Shervin Khodabandeh
AI & Machine Learning
How Northwestern Mutual Embraces AI
The journey to be more client-centric has brought a focus on artificial intelligence and data at Northwestern Mutual.
Thomas H. Davenport and Randy Bean
Technology Innovation Strategy
A One-Stop Data Shop: The Lego Group’s Anders Butzbach Christensen
On the Me, Myself, and AI podcast, Lego’s head of data engineering explains its approach to digital transformation.
Sam Ransbotham and Shervin Khodabandeh
Technology Innovation Strategy
Our Guide to the Spring 2023 Issue
This issue of MIT SMR focuses on talent management, innovation strategies, and emerging technologies.
MIT Sloan Management Review
Technology Innovation Strategy
The Business Case for Quantum Computing
Quantum computers may deliver an economic advantage to business, even on tasks that classical computers can perform.
Francesco Bova et al.
Technology Implementation
The Quiet Corner of Web3 That Means Business
Managers keeping an eye on Web3 can learn from promising implementations of decentralized credentials.
Mary Lacity et al.
AI & Machine Learning
Smart Product Breakthroughs Depend on Customer Control
Consumer fears of losing autonomy hinder smart-product adoption and use. But there are ways to boost customer control.
Jenny Zimmermann 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.