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.
One Unilever policy states that any decision that has a significant life impact on an individual should not be fully automated.
Overestimating the capabilities of AI models like ChatGPT can lead to unreliable applications.
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.
Commercial AI services can put proprietary data at risk — but there are alternatives.
