Remove CX Transformation Remove Education Remove Machine Learning Remove Technology
article thumbnail

A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. With AI, you can get answers to most of your “why” questions.

article thumbnail

Customer Experience Challenges According to 15 CX Experts

Lumoa

Many companies experience numerous challenges in the ares of customer experience transformation. We talked with the leading customer experience experts to find out what CX professionals should pay attention in the coming years. “CX There is no doubt that across most industries, the end-to-end CX has improved over the last twenty years.

CX 64
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

Top 150 Global Customer Experience Thought Leaders and Influencers of 2020

SurveySensum

Additionally, she is an Adjunct Faculty at the Rutgers executive education MBA program, Contributor of the Forbes, Harvard Business Review and Hemispheres Magazine, and Host of the podcast The Modern Customer Podcast and The Be Your Own Boss. Salman Sharif – FCXP (CX-II), CX Advisor, and EMEA at Forrester.

article thumbnail

Customer Experience Strategy: An A to Z Glossary

Lumoa

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. According to Accenture , 85% of customer interactions will be managed with AI by 2020.

article thumbnail

A to Z Guide to Customer Experience Definitions and Terms

Lumoa

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. According to Accenture , 85% of customer interactions will be managed with AI by 2020.