article thumbnail

The essential Artificial Intelligence (AI) glossary for contact centres

Logicalware

Artificial Intelligence (AI) is a field of computer science focused on creating intelligent machines that can learn, reason, and perform tasks like humans. It includes techniques such as machine learning, natural language processing, and computer vision. Google Lens is an example of image recognition.

article thumbnail

7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.

article thumbnail

Your Introduction to Call Center Automation

Fonolo

Statistical machine learning This type of automation technology focuses on analyzing and mapping patterns in your customer and data, agent activity, and much more. Using features like sentiment analysis, these tools can make suggestions in real time to your agents so they can provide the best help possible to your callers.

article thumbnail

February integrations are here

Zendesk

Create proposals, quotes, contracts and invoices from leads, companies, people or deals – plus, collect legally binding electronic signatures. Loris CX Software (Support) (Chat) uses machine learning to leverage empathy insights that make agents more human, not less. Loris analyzes and provides insights on every message.