Lightico

FEBRUARY 4, 2025

Yet these traditional AI tools are often constrained by rigid rulesets or prebuilt machine-learning models that excel in well-defined tasks. Rather than requiring each new scenario to be painstakingly coded, agentic models leverage expansive training data (in the form of foundation models) to adapt to new situations.

Finance 52

Finance AI Compliance Machine Learning 52

Customer Experience Matrix

MARCH 3, 2019

which purchased Treasure Data , is not a typical enterprise software vendor. By contrast, Informatica is very much a leader in enterprise data management, with a major presence in integration, Master Data Management (MDM), governance, and security. It illustrates the difference between MDM and CDP.

Unstructured Data 82

Unstructured Data Machine Learning Artificial Intelligence Government 82

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. Text Analytics Text Analytics (text mining) includes a set of techniques that structure information arriving in text format— for instance free text customer feedback.

Net Promoter Score 167

Net Promoter Score Customer Experience B2C Social Media 167

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. 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?

Net Promoter Score 107

Net Promoter Score Customer Experience CEM B2C 107

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. 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?

Net Promoter Score 60

Net Promoter Score Customer Experience CEM B2C 60

SurveySensum

MARCH 7, 2025

Text Analytics in Healthcare refers to the process of extracting meaningful insights from unstructured medical text, such as patient records, doctors notes, clinical trial data, and research articles. It uses AI capabilities like NLP and machine learning to analyze, categorize, and interpret vast amounts of text-based healthcare data.

Text Analytics 52

Text Analytics Healthcare AI Unstructured Data 52