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echoing that idea, andrew gleiser, chief revenue officer at payments provider aeropay, told pymnts that one future-fit use case he sees for generative ai is integrating the solution into merchant payment portals to surface compliant information to customers around their own best clients as it relates to metrics, including average order value, overall volume and purchase cadence. the difference with today's generative ai models is that their capabilities have evolved to better recognize patterns, draw more complex and multi-modal conclusions, as well as create new content by processing large language models (llms) full of enormous quantities of media. this means that the latest generation of ai can undertake non-closed loop, iterative tasks in real time.

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