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2025: The year ‘invisible’ AI agents will integrate into enterprise hierarchies
Ultimately, AI agents will be able to perceive (process and interpret data), plan, act (with or without a human in the loop), reflect, learn from feedback and improve over time.
“Agents will likely fit into enterprise workflows much like specialized members of any given team,” said Naveen Rao, VP of AI at Databricks and founder and former CEO of MosaicAI. “Agents are goal-based and make independent decisions based on context,” explained Ed Challis, head of AI strategy at business automation platform UiPath. To address this, FactSet changed its architecture, breaking its system down into a more efficient AI agent that called various smaller models and functions, each customized or fine-tuned to accomplish a specific, narrow task.
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