Data & Data Culture
The Trust Problem That Slows Digital Transformation
Tension between business executives and IT professionals can be managed in ways that build respect for each other’s capabilities — and open new doors in the process.
Data, AI, & Machine Learning
Latest
AI and Machine Learning
The No. 1 Question to Ask When Evaluating AI Tools
Determining whether an AI solution is worth implementing requires looking past performance reports and finding the ground truth on which the AI has been trained and validated.
Sarah Lebovitz, Hila Lifshitz-Assaf, and Natalia Levina
AI and Machine Learning
AI Ethics at Unilever: From Policy to Process
One Unilever policy states that any decision that has a significant life impact on an individual should not be fully automated.
Thomas H. Davenport and Randy Bean
AI and Machine Learning
The Working Limitations of Large Language Models
Overestimating the capabilities of AI models like ChatGPT can lead to unreliable applications.
Mikhail Burtsev, Martin Reeves, and Adam Job
Data, AI, & Machine Learning
The Rise of Connector Roles in Data Science
Connectors can bridge the organizational gaps that often thwart success with data science projects. Here’s how to manage this new kind of data professional.
