eglobalis

MARCH 30, 2025

Using natural language processing (NLP) and machine learning, companies can interpret the tone and emotion behind customer interactions on a massive scale. Technologies enabling this include machine learning algorithms that learn from historical instances (e.g., Instead of explicitly asking How do you feel?,

AI 320

AI CX Sentiment Analysis Predictive Analytics 320

Customer Experience Matrix

OCTOBER 29, 2017

its phone clients sell many more products than text; it has a smattering of clients in financial services and manufacturing; and it has corporate offices in Dubai and headquarters in the Netherlands. Its architecture spans what I usually call the data, decision, and delivery layers, although Flytxt uses different language.

Unstructured Data 84

Unstructured Data Machine Learning Manufacturing Touchpoint 84

Sprinklr

OCTOBER 7, 2021

Competitive benchmarking is not a new concept; in fact, Xerox first began the practice in 1979 to analyze unit production costs in manufacturing operations. The proliferation of digital channels combined with the right technology lets you explore data and insights about competitors in ways you couldn’t before. Manual data collection.

Social Listening 102

Social Listening CXM Unstructured Data Social Media 102

Comm100

FEBRUARY 17, 2025

It was a release of seismic proportions, that fundamentally shaped how developers and hardware manufacturers approached product development. Like the iPhone, AI is taking things weve always done, analyzing data, automating tasks, personalizing experiences, and making them smarter, faster, and in some cases, transforming them entirely.

Sports 52

Sports AI Machine Learning Gaming 52