The promise of generative AI is vast. In fact, McKinsey estimates that “applying generative AI to customer care functions could increase productivity by between 30 and 45 percent.”
However, to translate this potential into tangible business value, it is important to apply best practices to avoid common pitfalls. A “generative AI can do it all” narrative fails to address the complexities of real-world CX challenges.
To harness the full potential of generative AI, a comprehensive approach is essential—one
that includes selecting the best-fit language learning models (LLMs), using guided prompt building, and layering different types of AI purpose-built for CX within a unified platform for optimal results.
In this Best Practices Guide, you’ll learn how to:
- Leverage a unified platform to manage and optimize all modern interactions
- Apply generative AI where it will produce the best outcomes
- Select an AI language model that optimizes your desired use case
- Implement industry-specific models to deliver more accurate and relevant customer insights
Bridge the gap between gen AI’s potential and measurable success. Download the guide to learn more.
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With NICE, it’s never been easier for organizations of all sizes around the globe to create extraordinary customer experiences while meeting key business metrics. Featuring the world’s #1 cloud native customer experience platform, CXone, we’re a worldwide leader in AI-powered contact center software. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, partner with NICE to transform—and elevate—every customer interaction. For more information about NICE, please visit www.niceincontact.com.
