Natural-language interaction
Triggered by natural-language queries, the agents can complete tasks such as retrieving data, reasoning, and creating data visualizations. Ulag said the agents should be able to deal with prompts such as, “Can you analyze all my customer survey questions, comments, focus on all the negative comments, categorize them into the top five buckets and give me examples?”
That kind of natural-language interaction is key, said Arnal Dayaratna, research vice president at IDC.
“The innovation here is that these data agents can provide conversational assistance to any enterprise knowledge worker that is interested in performing data-driven analytics,” he said. “This enables a radical democratization of the capability not only of data analysis, but also the skill of explaining the significance of data-centric insights.”
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