Artificial Intelligence

As we now know from the phenomenon of ChatGPT, generative AI has the potential to unlock trapped information from thousands of sources in an organization.

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.

When generative AI’s capacity for strategy creation is put to the test, it reveals where its strengths lie — and where humans still have the edge.

Data-efficient AI techniques are emerging — and that means you don’t always need large volumes of labeled data to train AI systems based on neural networks.

Across the vast range of real-world usage scenarios, there have been far more instances of augmentation of human work by smart machines than of full automation. That scenario is expected to continue for the foreseeable future.