Redefining Future Expectations: How to unlock differentiation in the era of generative AI

Liga Zvirgzdina, Emily Cheng, Jyothish Nair, Pauline Bertry, Stefan Moritz
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Abstract

We are on the cusp of a customer-service revolution, driven by generative AI. The technology, with its ability to derive deep insights and generate new content based on vast stores of structured and unstructured data, opens the opportunity to craft richer, more satisfying experiences. This, of course, is a significant opportunity for organisations looking to deepen their relationships with internal employees and end customers. But it also poses a genuine challenge for service designers: As gen AIraises expectations for targeted, relevant and useful interactions, designers will increasingly be charged not just with meeting those expectations, but constantly exceeding them.
重新定义未来期望:如何在生成式人工智能时代实现差异化
在生成式人工智能的推动下,我们正处于客户服务革命的风口浪尖。这项技术能够根据大量的结构化和非结构化数据得出深刻的见解并生成新的内容,为创造更丰富、更令人满意的体验提供了机会。对于希望加深与内部员工和终端客户关系的企业来说,这当然是一个重大机遇。但这也对服务设计者提出了真正的挑战:随着人工智能技术提高了人们对有针对性、相关性和实用性的互动的期望,设计师的任务将越来越重,他们不仅要满足这些期望,还要不断超越这些期望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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