For most businesses, and many people, artificial intelligence (AI) is the most exciting topic of technological conversation in the world today. The emergence of breakthrough generative AI technology in the form of Generative Pre-trained Transformer (GPT) and other large language models (LLMs) has captured the imagination of the public, business leaders, and investors around the world.
With all this excitement comes a significant to-do list: Organizations are challenged to understand AI and the many component technologies that make it up, compare their organizational needs to what AI has to offer, and move very quickly to incorporate the latest AI into their offerings.
Interest in AI for customer experience (CX) is particularly high across industries, and it can come with risks. While organizations must incorporate AI into their business strategy, for all departments and purposes, there’s understandable hesitation around opening themselves up to embarrassing errors at best and major security risks at worst.
Included in this Contents
- Making CX Better with Cutting-Edge AI
- Identifying the Benefits of AI for CX
- Unveiling a NICE Implementation of AI for CX
- Ten Questions about AI for CX
This article is posted at nice.com
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