Companies from Zoom to Slack lean on the product itself to find customers, convert them to paying, and drive rapid growth in revenues and services — without adding more staff.
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.
