General Customer Experience & Contact Center FAQs

What is the difference between AI and machine learning?

Artificial Intelligence (AI) is the broader concept of machines simulating human intelligence to perform tasks, while machine learning (ML) is a subset of AI that enables systems to learn from data and improve performance over time.

How does AI work?

AI encompasses a range of technologies including natural language processing, predictive analytics, and automation to simulate decision-making and problem-solving.

How does machine learning fit into AI?

Machine learning trains models on historical data, enabling them to identify patterns, make predictions, and improve accuracy without explicit programming.

Why does this distinction matter in CX?

Understanding the difference helps businesses apply AI for intelligent automation while leveraging ML to continuously refine personalization, routing, and analytics.

How does this create a NiCE world?

In a NiCE world, AI and ML work together to deliver smarter, more adaptive customer experiences that evolve with every interaction.

Create an intelligent world, where AI and ML transform customer engagement.

See how it works in action

General Customer Experience & Contact Center FAQs