The delegation of managerial functions to algorithms transforms management practices.
Data, AI, & Machine Learning
Page 3 of 26
-
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.
-
Level Up to Strategic Data Sharing
Based on their research, the authors share four key ways companies can advance their strategic data-sharing initiatives.
-
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.
-
How AI Is Improving Data Management
Artificial intelligence is quietly improving the management of data, including its quality and security.
-
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.
-
When Algorithms Rule, Values Can Wither
Building responsible AI systems starts with recognizing that technology solutions implicitly prioritize efficiency.
-
Achieving Individual — and Organizational — Value With AI
The 2022 MIT SMR-BCG AI and Business Strategy report finds organizations get more value from AI when workers benefit too.
-
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.
-
Working With AI: Real Stories of Human-Machine Collaboration
Offers detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor.
