Zendesk

JANUARY 18, 2024

According to our CX Trends Report, 75 percent of businesses believe that a lack of transparency could lead to increased customer churn in the future. Because AI as a service (AIaaS) providers make AI technology more accessible to businesses, ensuring AI transparency is more important than ever.

AI 52

AI Artificial Intelligence Legal Machine Learning 52

SugarCRM

FEBRUARY 21, 2018

The myth machine rumbles on, riding the coattails of the latest technology trends like artificial intelligence (AI), and drawing on old, archaic beliefs that have pervaded the CRM industry since its beginning. So I’m here to debunk five more myths in an effort to help organizations better recognize how CRM can help grow their business.

CRM 47

CRM Artificial Intelligence AI Machine Learning 47

Lumoa

FEBRUARY 9, 2023

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.

Net Promoter Score 178

Net Promoter Score Customer Experience B2C Social Media 178

SurveySensum

JULY 14, 2020

Mike is the Founder and Managing Partner at Storyminers and helps mid-market companies to achieve higher operating results and profitable exits using Storyminers’ unique combination of Story, Strategy, Experience Design, and Technology. LinkedIn : [link]. Website : [link].

Customer Experience 132

Customer Experience CX E-commerce Social Media 132

Qualtrics

APRIL 13, 2021

That’s why today I’m excited to announce what Qualtrics has spent the past decade building - an end-to-end business operating system for experience management: the XM Operating System or XM/ OS. The connected technology between XM Directory, iQ and xFlow means the three core services work hand-in-hand.

Machine Learning 49

Machine Learning Sentiment Analysis Compliance Government 49

Lumoa

MARCH 20, 2018

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.

Net Promoter Score 114

Net Promoter Score Customer Experience B2C CEM 114

Lumoa

MARCH 20, 2018

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.

Net Promoter Score 64

Net Promoter Score Customer Experience B2C CEM 64