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

NOVEMBER 19, 2021

What is sentiment analysis? Sentiment analysis is a powerful tool for monitoring and understanding contextual sentiment for any customer, employee, product, or brand experience. Why is sentiment analysis important? And this is where sentiment analysis algorithms come into play.

Sentiment Analysis 26

Sentiment Analysis Machine Learning Social Media Engineering 26

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 Artificial Intelligence 98

Customer Experience Matrix

OCTOBER 14, 2016

But the company also calls itself a “marketing integration engine” that works with “all of your data”, which certainly goes beyond just advertising. It can also clean, transform, classify, and reformat the inputs to make them more usable, applying advanced features like rules, formulas, and sentiment analysis.

Machine Learning 69

Machine Learning Sentiment Analysis Social Listening Engineering 69

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

Logicalware

JULY 26, 2023

Artificial Intelligence (AI) is a field of computer science focused on creating intelligent machines that can learn, reason, and perform tasks like humans. It includes techniques such as machine learning, natural language processing, and computer vision. Google Lens is an example of image recognition.

Artificial Intelligence 52

Artificial Intelligence AI Sentiment Analysis Machine Learning 52

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 Contact Center Machine Learning Artificial Intelligence 72

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 Contact Center Machine Learning Artificial Intelligence 72

VOZIQ

AUGUST 11, 2022

Sentiment analysis, also known as opinion mining, helps customer-facing businesses know their customers better and build stronger relationships with them. This is because sentiments have a critical role in a buying decision and customer life cycle. Why is sentiment analysis important? Revamp customer care.

Sentiment Analysis 40

Sentiment Analysis Machine Learning Customer Satisfaction Customer Loyalty 40

DMG Consulting

FEBRUARY 25, 2019

Speech analytics is getting a new lease on life courtesy of artificial intelligence (AI), machine learning, and the digital transformation. These applications are being pushed to the next level by more advanced AI-enabled technologies, like supervised, semi-supervised, and unsupervised machine learning and predictive analytics.

AI 48

AI Text Analytics Machine Learning Predictive Analytics 48

Customer Experience Matrix

MAY 7, 2015

It performs the relatively common function of identifying trends but uses enough advanced technology, including natural language processing, topic discovery, and sentiment analysis, to impress me. Even the recommendation engines rarely do more than predict which messages an individual is most likely to select.

Artificial Intelligence 106

Artificial Intelligence AI Sentiment Analysis Predictive Analytics 106

Ameyo Callversations

MARCH 2, 2022

The use of machine learning coupled with Artificial intelligence and automated voice responses in a Contact center also helps the agents assist customers by making the calls interactive. To avoid these problems, engineers designed voice bots. Sentiment Analysis.

Contact Center 52

Contact Center Artificial Intelligence AI Sentiment Analysis 52

SurveySensum

MARCH 3, 2022

Text & sentiment analysis . Identify the sentiments in customer feedback as negative, positive, or neutral, and recognize the tone and emotions behind each feedback. . ? A user-friendly dashboard provides sentiment analysis reports, negative and positive tagging, and real-time insights. . Sentiment analysis .

Voice of the Customer 52

Voice of the Customer VOC Sentiment Analysis Close the Loop 52

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 Artificial Intelligence Sentiment Analysis 90

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

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 Compliance Government Sentiment Analysis 49

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 78

NPS Sentiment Analysis Start-ups Net Promoter Score 78

eglobalis

DECEMBER 17, 2024

Instead, dynamic alternatives such as Customer Effort Score (CES) , real-time sentiment analysis, and advanced AI-powered analytics offer deeper insights into customer behaviours. AI tools like recommendation engines (used by Netflix and Amazon) demonstrate how anticipating preferences fosters deeper customer loyalty.

AI 347

AI CX Sentiment Analysis Net Promoter Score 347

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

SurveySensum

SEPTEMBER 23, 2024

Impact Analysis: Evaluate the effects of different actions on your business outcomes, helping you prioritize initiatives that drive real, tangible results. Text and Sentiment Analysis: Turn those customer comments into gold. Seamless Integration: Integrate without stress as it seamlessly fits your existing tools and platforms.

CX 52

CX Customer Experience Social Media Text Analytics 52

SurveySensum

APRIL 15, 2025

Best Features Text & sentiment analysis Identify the sentiments in customer feedback as negative, positive, or neutral, and recognize the tone and emotions behind each feedback. Predictive AI The predictive AI engine provides quick insights in real-time to identify customer trends and patterns.

Voice of the Customer 52

Voice of the Customer VOC Sentiment Analysis Close the Loop 52