AI & Machine Learning
Moving Beyond Islands of Experimentation to AI Everywhere
It may make sense to start AI efforts with isolated experiments, but new structures are needed to reap broader benefits.
Technology Implementation
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IT Governance & Leadership
Responsible AI at Risk: Understanding and Overcoming the Risks of Third-Party AI
Do responsible AI programs address the risks of third-party artificial intelligence tools? A panel of experts weighs in.
Technology Implementation
A Better Way to Pilot Emerging Technologies
Research suggests leaders should focus on a use case for cutting-edge technologies first, then develop a business case.
Technology Innovation Strategy
Our Guide to the Spring 2023 Issue
This issue of MIT SMR focuses on talent management, innovation strategies, and emerging technologies.
AI & Machine Learning
The No. 1 Question to Ask When Evaluating AI Tools
Understanding how AI algorithms are trained and validated can help decision makers pick the right tools and avoid risk.
Technology Implementation
The Quiet Corner of Web3 That Means Business
Managers keeping an eye on Web3 can learn from promising implementations of decentralized credentials.
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.
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.
Technology Innovation Strategy
It’s Time to Take Another Look at Blockchain
Large incumbent companies should begin adopting blockchain before it gets used against them.
Skills & Learning
Individual AI Use Can Benefit Organizations
MIT SMR and BCG research team members discuss a recent artificial intelligence study at the Web Summit conference.
Technology Implementation
The Business Case for Blockchain in the Enterprise
Companies stand to benefit from blockchain if they first create a strategic road map and learn from others’ successes.
Content sponsored by DXC Technology
Cybersecurity: Keep It Basic. Keep It Collaborative. Keep It Strong.
Two executives discuss why it’s time for organizations to get back to the basics in cybersecurity.
AI & Machine Learning
What Machines Can’t Do (Yet) in Real Work Settings
Most companies that are using AI are deploying it for augmentation, not large-scale automation.
IT Governance & Leadership
Mature RAI Programs Can Help Minimize AI System Failures
A panel of experts weighs in on whether mature responsible artificial intelligence programs mitigate system failures.
Content sponsored by Tata Consultancy Services
Culture: The Engine of Transformation
Executives from TCS and Equifax discuss why true digital transformation requires cultural change.
Data & Data Culture
From Data to Wisdom: Novo Nordisk’s Tonia Sideri
Novo Nordisk’s Tonia Sideri explains how the pharma company uses AI to test new ideas before initiating tech projects.
Content Sponsored by EY
Honeywell and EY Digital Compliance Scorecard Enhances Communication and Drives Improvement
This case study describes how Honeywell and EY teamed up to build a powerful compliance scorecard.
AI & Machine Learning
Increasing AI Tool Adoption by Front-Line Workers
Successful AI adoption requires developers to think beyond business goals and address end users’ workflow concerns.
Content sponsored by DXC Technology
Digital Innovation and Employee Experience: Making the Connection
Two executives discuss why companies must provide relevant, personalized employee experiences.
Supply Chains & Logistics
Unlocking the Potential of Digital Twins in Supply Chains
Digital twins can deliver immense benefits across a wide range of supply chains with the right implementation strategy.