Remove CX Transformation Remove Machine Learning Remove VOC
article thumbnail

How to Lead a B2B CX Transformation Program—And Avoid Costly Mistakes

ECXO

How to Lead a B2B CX Transformation ProgramAnd Avoid Costly Mistakes Introduction: The Importance of CX Transformation in B2B Todays business customers expect seamless, responsive, and value-rich interactions at every stage of the partnership. Equally important is visible sponsorship.

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. ” Build a cross-functional CX team: get the key players from the whole company (chief executives, heads of departments) onboard CX transformation.

Insiders

Sign Up for our Newsletter

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

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. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?

article thumbnail

Top 150 Global Customer Experience Thought Leaders and Influencers of 2020

SurveySensum

He has 25 years of experience on the leading edge of digital transformation, social, and marketing strategy and has previously worked at American Express, Prudential Financial, USAA, and Forrester Research in senior roles. She has carved a successful career in both customer service and CX leadership across Financial Services and Telcos.

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. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?