ECXO

APRIL 10, 2024

Emotional AI and Sentiment Analysis: Utilize advanced technologies such as emotional AI and sentiment analysis to automatically detect and analyze the emotional frequencies in customer data. Leverage data and technology to offer personalized recommendations, customized experiences, and tailored communication.

CX 334

CX Customer Experience Social Media Sentiment Analysis 334

Callminer

APRIL 20, 2018

As a CX leader, you also need to know which technologies will help you achieve your core objectives in managing the customer experience. This post will help you zero-in on those technologies and best practices proven to produce results. Adopt Technologies That Align with Your Customers’ Expectations.

Contact Center 186

Contact Center Customer Experience Machine Learning Artificial Intelligence 186

Fonolo

FEBRUARY 16, 2021

Contact center technology has come a long way since its early years as a jury-rigged air traffic control system. The pandemic has hastened many call center trends and compounded technological developments. Here are the latest and greatest call center technologies: AI-Powered Voice Biometrics & Analysis. Voice-to-Text.

Technology 134

Technology Technology Contact Center Sentiment Analysis 134

Execs In The Know

AUGUST 12, 2024

Keeping up with current technological advancements in the ever-evolving world of CX is both a challenge and a necessity. Sentiment analysis offers a practical way for businesses to monitor and respond to customer emotions within seconds. What Is Sentiment Analysis?

Sentiment Analysis 52

Sentiment Analysis CX AI Machine Learning 52

Zonka Feedback

OCTOBER 25, 2023

Introducing customer sentiment analysis - a window into the innermost thoughts of the customer. But what exactly, is sentiment analysis, and more importantly, how it can boost customer experiences? TL;DR Customer sentiment analysis enables businesses to understand their customer's thoughts.

Sentiment Analysis 59

Sentiment Analysis Machine Learning Social Media Customer Feedback 59

Callminer

MAY 27, 2020

Although contact centers tend to lead the pack with powerful software integrations and assistive technology, call centers have not been left behind. Call centers stick to telephone-based communication, while contact centers branch out into other mediums where applicable. that can be automated.

Contact Center 207

Contact Center Sentiment Analysis Machine Learning AI 207

CSAT.AI

OCTOBER 19, 2022

Phrase based models use natural language processing (NLP) and machine learning which allow AI to derive meaning from human language. This is a powerful customer service technology in multiple ways. Sentiment Analysis. Sentiment analysis is parsing customer responses and actions to understand how they feel.

Sentiment Analysis 108

Sentiment Analysis Customer Service Machine Learning AI 108

TeamSupport

JUNE 29, 2020

By utilizing the many tools available—and more technologically advanced than ever—B2B companies are able to gauge how their customers are feeling and how satisfied, or not, that they actually are. The simplest type of algorithm uses a dictionary to look up which words or phrases indicate which sentiment. Find out in Part 2.

Sentiment Analysis 59

Sentiment Analysis B2B Machine Learning B2C 59

Fonolo

JANUARY 12, 2023

When customers do connect with an agent, in-call sentiment analysis can decode customers’ emotions and offer in-call prompts, supporting agents, and improving metrics like first call resolution. Sentiment Analysis. Sentiment Analysis. Tools that personalize CX. Conversational AI (Chatbots).

Artificial Intelligence 138

Artificial Intelligence Contact Center Sentiment Analysis AI 138

SurveySensum

OCTOBER 29, 2024

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Let’s understand each of them.

Contact Center 52

Contact Center Text Analytics Sentiment Analysis Machine Learning 52

SurveySensum

MARCH 3, 2025

Social media text analytics is the process of analyzing text-based data from social media platforms using technologies like NLP, machine learning, and AI to extract meaningful insights. This process helps you understand brand mentions, customer sentiments, emerging trends, and competitor strategies. Lets find out!

Text Analytics 52

Text Analytics Social Media Sentiment Analysis AI 52

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. Short on time? What follows is a lightly edited transcript of the episode.

Voice of the Customer 199

Voice of the Customer Net Promoter Score Machine Learning ML 199

Comm100

DECEMBER 16, 2024

Over the years, customer service has undergone a dramatic transformation, driven by rapid advancements in technology. But as automation becomes a cornerstone of customer service, a pressing question emerges: Is it possible to balance the efficiency of technology with the human connection that customers still crave?

Customer Service 52

Customer Service Sentiment Analysis AI Social Media 52

Aquire

JULY 1, 2021

Conversational AI today is probably the closest technology has come to mimicking human interactions. If you want to know more about this technology, start here; our beginner’s guide will cover these essential aspects of conversational AI: What is conversational AI? The technology behind conversational AI. Machine learning (ML).

AI 125

AI Artificial Intelligence Machine Learning ML 125

SurveySensum

JANUARY 16, 2025

The solution works best for industries like Education, Healthcare software, Technology, Retail , Financial Services, B2B, Travel, Hospitality, etc. SurveyMonkey : SurveyMonkeys text and sentiment analysis is a paid feature that is available only on certain plans and packages. Lets now explore some pros and cons of Qualtrics.

Sentiment Analysis 52

Sentiment Analysis NPS AI Text Analytics 52

Beyond Philosophy

JULY 18, 2020

Business leaders of today have to understand the technology of tomorrow. He believes that the future of Customer Experience management and the way to foster customer-driven growth is AI, and here’s why: AI is machine intelligence driven by algorithms. The Big Mistake People Make with AI. The goal is to mimic the human mind.

Artificial Intelligence 114

Artificial Intelligence Machine Learning Sentiment Analysis AI 114

Fonolo

FEBRUARY 2, 2023

If so, you need to familiarize yourself with the latest tools and technology. Simply put, automation is the practice of using software or technology to address time-consuming or repetitive tasks in your call center operation. Call center automation software is essential to accomplishing this goal. Is your business up to the challenge?

Contact Center 140

Contact Center Sentiment Analysis AI Legal 140

SugarCRM

JULY 7, 2022

Technology for collecting, managing, and advancing customer interactions is vital for all businesses. Here are three ways businesses can use technology to maximize the value and productivity of a hybrid and remote workforce: 1. Technology can quickly capture, analyze and draw valuable insights from many data points.

Technology 55

Technology Technology Data Entry ML 55

ECXO

MARCH 24, 2024

Everyone is talking about Artificial Intelligence (AI) and how it has emerged as one of the most significant technological innovations in recent years, revolutionizing various industries and opening up a world of new possibilities. It is an exciting time to be a customer, with technology providing a level of personalization never before seen.

AI 156

AI Customer Experience Social Media Machine Learning 156

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

CSAT.AI

SEPTEMBER 22, 2022

This technology relies on machine learning and deep learning to parse queries and apply appropriate responses/solutions. says, “Successful CX outcomes utilize sentiment analysis to augment current conversational AI. CAI is a growing trend with a worldwide market projected to grow substantially from USD 6.8

AI 101

AI Sentiment Analysis Machine Learning Technology 101

Beyond Philosophy

AUGUST 25, 2022

However, the company also pays for that time in labor, technology, and many other cost centers. He explains that organizations research technology or processes, but the lynchpin for success is having people willing to make the change and take the risk. Building a Proactive Experience. The challenge is making data future-facing.

Contact Center 147

Contact Center Artificial Intelligence Sentiment Analysis Start-ups 147

Neosperience

FEBRUARY 24, 2020

By Sentient Technology we want to highlight the applications of Artificial Intelligence that can read, interpret and respond to human stimuli. . In recent years, we have witnessed a wave of technology development that seeks to imitate, or rather decrypt, human emotions.

Technology 52

Technology Technology Artificial Intelligence Machine Learning 52

Fonolo

APRIL 18, 2023

Automation is the practice of using technology (usually software) to perform time-consuming or repetitive tasks. Machine learning This type of automation is usually coupled with an AI application. We’ll walk you through the tools, explaining what they do and the results you can expect. What is Automation?

Contact Center 81

Contact Center Machine Learning Sentiment Analysis Data Entry 81

Fonolo

JUNE 7, 2018

We’ve seen transactions for every size and covering a wide range of technology. Four of them include “AI” or “machine learning”, although those terms are being used so casually now, they are almost meaningless. Altocloud claims that “AI and machine learning” are involved in the product, but I’m skeptical.

Machine Learning 79

Machine Learning Sentiment Analysis AI Technology 79

CommBox

JULY 11, 2024

In the early days, the main goal was to explore whether AI machines could simulate specific characteristics of human intelligence and logic-solving. AI technology has made significant progress and increasingly advanced AI applications are changing operations across various industries. What’s AI in Customer Service?

Sentiment Analysis 52

Sentiment Analysis Artificial Intelligence AI Predictive Analytics 52

Fonolo

APRIL 18, 2023

Automation is the practice of using technology (usually software) to perform time-consuming or repetitive tasks. Machine learning This type of automation is usually coupled with an AI application. We’ll walk you through the tools, explaining what they do and the results you can expect. What is Automation?

Contact Center 67

Contact Center Machine Learning Sentiment Analysis Data Entry 67

Zendesk

AUGUST 30, 2022

Rdentify for Support and Chat (Support) (Chat) brings together state-of-the-art machine learning and linguistics technology to provide customer protection. Sift dynamically prevents fraud and abuse through industry-leading technology and expertise. Links may be pasted to allow quick access to frequently used websites.

Social Media 98

Social Media Sentiment Analysis Machine Learning Technology 98

Logicalware

NOVEMBER 23, 2023

Here, businesses leverage AI technologies to enhance productivity, support employees, and monitor data and analytics. Unlike traditional machine learning models with narrow use cases, LLMs are trained on extensive data, with a sophisticated architecture resembling the human brain. Did you miss Xiaopeng’s session at Elevate ‘23?

Artificial Intelligence 52

Artificial Intelligence AI Sentiment Analysis Machine Learning 52

Lumoa

JANUARY 23, 2018

Topic analysis reveals topics that are most talked about. Sentiment analysis involves analyzing subjective material and extracting attitudinal information. Simple sentiment analysis divides the sentiment into three buckets: a sentence can be positive, neutral or negative. But that is just the first step.

Text Analytics 114

Text Analytics Sentiment Analysis NPS Net Promoter Score 114

Lumoa

NOVEMBER 21, 2023

But it is no longer a challenge, thanks to modern technologies like martech tools and back-office solution software and the use of artificial intelligence (AI) in customer feedback analysis. Thankfully, the most relevant AI development technologies evaluating customer feedback rely on sentiment analysis.

Customer Feedback 78

Customer Feedback AI Machine Learning Social Media 78

Taylor Reach Group

SEPTEMBER 6, 2023

The dialogue surrounding the potential replacement of human agents with AI-driven conversational systems has been ongoing for decades, with technology continuously evolving to redefine customer interactions. A Historical Perspective The conversation about automating high-volume, low-complexity tasks through technology isn’t new.

Contact Center 65

Contact Center AI Data Entry Sentiment Analysis 65

Lumoa

APRIL 28, 2024

Platform Overview Medallia is a cloud-based CX management software that provides survey features, sentiment analysis, social listening, and AI-powered insights. Since Qualtrics is a rather versatile solution, you can also do advanced statistical analysis such as regression, cluster, and correlation analysis.

Sentiment Analysis 78

Sentiment Analysis Compliance AI Social Media 78

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.

Artificial Intelligence 52

Artificial Intelligence AI Sentiment Analysis Machine Learning 52

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

SugarCRM

JANUARY 3, 2022

Gartner says, “63% of digital marketing leaders still struggle with personalization, yet only 17% use AI and machine learning across the function.”. He says, “One of the highest callings of customer experience professionals and enabling technology platforms is helping customers via an understanding of their struggles and aspirations.”.

AI 52

AI Sentiment Analysis Artificial Intelligence CX 52

Zendesk

NOVEMBER 28, 2023

Premiering in 1962, the cartoon accurately depicts many technologies we use today—including AI. Today, most businesses can access advanced AI technology and be as efficient as Spacely Space Sprockets, the AI-powered factory in The Jetsons , by using AI as a service (AIaaS). Here are some popular types of AIaaS and use cases.

AI 52

AI ML Machine Learning Artificial Intelligence 52