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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. There is no doubt that across most industries, the end-to-end CX has improved over the last twenty years. Customers want you to know them.

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 There is no doubt that across most industries, the end-to-end CX has improved over the last twenty years.

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. Both groups of technologies can be utilized to make analytics more actionable. With AI, you can get answers to most of your “why” questions.

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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. Salman Sharif – FCXP (CX-II), CX Advisor, and EMEA at Forrester. LinkedIn : [link]. Website : [link].

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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. 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.

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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. 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.