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Gartner predicts AI agents will transform work, but disillusionment is growing
Gen AI is one of the hottest and hyped topics today. However, enterprise leaders are becoming skeptical about its near-term usefulness.
Today’s conversational agents are advanced and versatile, but are “very passive systems” that need constant prompting and human intervention, Chandrasekaran noted. For instance, data preparation and inferencing costs are often greatly underestimated, explained Hung LeHong, a distinguished VP analyst at Gartner. He pointed to some common use cases across these business functions: content creation and augmentation; data summarization and insights; process and workflow automation; forecasting and scenario planning; customer assistance; and software coding and co-pilots.
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