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There’s no question that AI agents — those that can work autonomously and asynchronously behind the scenes in enterprise workflows — are the topic du jour in enterprise right now.
But there’s increasing concern that it’s all just that — talk, mostly hype, without much substance behind it.
Gartner, for one, observes that enterprises are at the “peak of inflated expectations,” a period just before disillusionment sets in because vendors haven’t backed up their talk with tangible, real-world use cases.
Still, that’s not to say that enterprises aren’t experimenting with AI agents and seeing early return on investment (ROI); global enterprises Block and GlaxoSmithKline (GSK), for their parts, are exploring proof of concepts in financial services and drug discovery.
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“Multi-agent is absolutely what’s next, but we’re figuring out what that looks like in a way that meets the human, makes it convenient,” Brad Axen, Block’s tech lead for AI and data platforms, told VentureBeat CEO and editor-in-chief Matt Marshall at a recent SAP-sponsored AI Impact event this month.
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