UJET

DECEMBER 17, 2020

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.

E-commerce 72

E-commerce Machine Learning Contact Center Sentiment Analysis 72

Intercom

JULY 13, 2023

Embracing a new era The hype around ChatGPT might be very new, but artificial intelligence (AI) and machine learning (ML) have actually been around for quite some time. Prepare your team for CS in the age of AI ?Key

AI 90

AI ML Sentiment Analysis Artificial Intelligence 90

Lumoa

JUNE 14, 2023

Resource Capacity Planning Tools Although resource capacity planning is commonly associated with dynamic company projects like product development or software engineering, it can also be applied to more static fields – like customer service.

NPS 83

NPS Sentiment Analysis Start-ups Net Promoter Score 83

CSAT.AI

FEBRUARY 27, 2019

Case in point, Google prediction: “The Google Prediction API provides access to cloud-based machine learning capabilities including natural language processing, recommendation engine, pattern recognition, and prediction. Now for some real pie!

Contact Center 52

Contact Center AI Sentiment Analysis Artificial Intelligence 52

Intercom

MAY 31, 2023

Fine-tuning can save time and resources by using general models instead of training new ones from scratch, and it can also reduce the risk of overfitting, where the model has learned the features of a small-ish training set extremely well, but it’s unable to generalize to other data.

AI 72

AI Machine Learning Artificial Intelligence Unstructured Data 72

Intercom, Inc.

MAY 22, 2019

Deepa joined me for a chat about everything from ways to prioritize customer experience to going all-in on machine learning. The customer defines the problem, but it’s on you to do root-cause analysis and solve the problem with your technology. Lessons on building machine learning. Short on time?

Voice of the Customer 199

Voice of the Customer Net Promoter Score Machine Learning ML 199

Qualtrics

APRIL 13, 2021

XM/ OS is the single, secure, cloud-native platform that enables our customers to bring together all of their experience data through a connected system, analyze it with powerful AI and machine learning tools, then quickly and easily take action to continually improve the experiences they deliver. xFlow - Build a culture of action.

Machine Learning 49

Machine Learning Sentiment Analysis Compliance Government 49

SurveySensum

FEBRUARY 11, 2022

Leverage the potential of machine learning with SurveySensum’s text analysis. It helps you identify top customer complaints from thousands of the feedback pool and gives you insights into your customers’ sentiments towards your brand/service/product. ? Text Analytics. Best features. Best features.

Close the Loop 52

Close the Loop Touchpoint NPS Customer Feedback 52

Experience Investigators

FEBRUARY 20, 2024

Voice of the Customer (VoC) programs have leveraged some level of artificial intelligence (AI) in many ways already, including pattern recognition, predictive analytics, and sentiment analysis. Cost-Effective and Scalable Solutions: Machine learning means these tools can adapt and improve over time, keeping operational costs low.

Voice of the Customer 98

Voice of the Customer VOC AI Sentiment Analysis 98