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15 CX Experts Talk about the Future and Challenges of Customer Experience in 2018 [part 1] 

Lumoa

CX transformation is no longer a nice-to-have, it's a necessity” – concludes Forrester , one of the most influential research and advisory firms in the world. Successful organizations will drive deep, orchestrated transformation rather than just fixing customer issues or tracing scores.

CX 141
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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 data security, gig economy, AI, machine learning).” And why not?

CX 64
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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.

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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?

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Top 150 Global Customer Experience Thought Leaders and Influencers of 2020

SurveySensum

He successfully led and brought his companies in successful CX transformation and has won many awards in customer engagement & customer experience management areas. Kaye Chapman – Learning & Development Manager at Comm100 and CX Accelerator Community Organizer. LinkedIn : [link]. Website : [link].

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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?