When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Contextual analytics helps narrow down this wide scope to reveal insights that can be relevant to both customers and employees and accessed from anywhere. If organisations can infuse this contextual ...

In most conversations, data and AI are inextricably linked. The narrative tends to be that organizations are not using AI well if they don’t have quality data from the field feeding into AI models.