Fonolo

JANUARY 12, 2023

Here are four main areas where we expect to see advancements in artificial intelligence change – and improve – the contact center. . 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.

Artificial Intelligence 138

Artificial Intelligence Contact Center Sentiment Analysis AI 138

Aquire

JULY 1, 2021

The most advanced function of this tech is using machine learning to learn over time. Conversational AI technologies revolve around machine learning, natural language processing, and advanced speech recognition. Machine learning (ML). Machine learning helps the system answer these questions over time.

AI 125

AI Artificial Intelligence Machine Learning ML 125

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

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. It includes applications like chatbots, sentiment analysis tools, and predictive analytics. It predicts call volumes, finds possible problems, and personalises interactions.

Sentiment Analysis 52

Sentiment Analysis Artificial Intelligence AI Predictive Analytics 52

Customer Experience Matrix

OCTOBER 14, 2016

Paradoxically, the main result of Datorama’s specialization is flexibility. It can also clean, transform, classify, and reformat the inputs to make them more usable, applying advanced features like rules, formulas, and sentiment analysis. But this is still not a push-button solution.

Machine Learning 69

Machine Learning Sentiment Analysis Social Listening Engineering 69

Retently

AUGUST 5, 2024

The platform’s robust reporting features provide detailed analytics and sentiment analysis, offering actionable insights for strategic decisions. People also appreciate the automation features and the analysis capabilities. It uses advanced AI and machine learning for analytics.

NPS 124

NPS B2B Net Promoter Score Actionable Insights 124

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

Lumoa

APRIL 3, 2018

Understanding why your customers are happy or unhappy is the main reason why you should ask for feedback in the first place. Simple sentiment analysis of text analytics can divide a sentiment into three buckets: a sentence can be positive, neutral or negative. That's where text analytics technologies come into play.

Net Promoter Score 126

Net Promoter Score NPS Touchpoint Text Analytics 126

SurveySensum

NOVEMBER 11, 2021

We will tell you why this is happening and introduce some of the best Qualtrics alternatives, along with their main features, pros, cons, and pricing. . Here are the main reasons why it is the right time to look for a Qualtrics competitor. . Derive significant insights from customer feedback by utilizing text and sentiment analysis.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Close the Loop 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

Hodusoft

AUGUST 29, 2024

Besides these two main types of AI, other popular AI systems include- Machine Learning (ML): A subset of AI, which uses algorithms that learn from existing data, or unsupervised learning. Deep Learning: A type of machine learning that involves learning from data using artificial neural networks.

Contact Center 52

Contact Center AI Artificial Intelligence Compliance 52

Lumoa

MARCH 12, 2023

Its top features include sentiment analysis, text and speech analytics, personalized insights, real-time feedback, and machine learning. Clarabridge offers advanced capabilities for text and speech analytics, making it possible for businesses to understand customer sentiment and identify trends.

Customer Experience 78

Customer Experience Customer Journey Map Sentiment Analysis NPS 78

Experience Investigators

MAY 7, 2024

To help you start or fine-tune your AI strategy, let’s explore the main things customer experience leaders need to know about AI and its close companion generative AI. Artificial intelligence is the ability of machines to exhibit human-like intelligence. What Are Artificial Intelligence and Generative AI?

AI 52

AI Artificial Intelligence Sentiment Analysis Customer Experience 52

VOZIQ

APRIL 26, 2022

We mentioned one way to combat customer churn is through artificial intelligence (AI), where machine learning and customer interaction analytics provide businesses with an accurate perspective on customer behavior and churn tendencies.

AI 40

AI Machine Learning Artificial Intelligence Sentiment Analysis 40

SurveySensum

FEBRUARY 11, 2022

Here are the main disadvantages of Medallia that make people look for better customer feedback tools. . Leverage the potential of machine learning with SurveySensum’s text analysis. So, why are people switching to Medallia competitors? Medallia’s service model doesn’t offer any ownership over the platform.

Close the Loop 52

Close the Loop Touchpoint NPS Customer Feedback 52

Retently

MARCH 26, 2024

On top of that, text and sentiment analysis capabilities give a better understanding of emerging trends and how to tweak and improve offerings before it’s too late based on specific customer feedback. While the sentiment analysis is top-notch, it could be a bit more user-friendly, especially for customers who aren’t data scientists.

Sentiment Analysis 78

Sentiment Analysis NPS Social Media CRM 78

Retently

FEBRUARY 9, 2024

Hence, among the main areas for measuring satisfaction with customer service representatives are hold times, problem resolution effectiveness, and both knowledgeability and attitude of customer service representatives. One way to assess this is through the Customer Effort Score , which measures how easily customers can resolve their issues.

Customer Feedback 113

Customer Feedback Net Promoter Score Customer Satisfaction NPS 113

SugarCRM

DECEMBER 14, 2023

Below are some of the main types of data analytics. Transform your raw data into easy-to-understand charts and graphs for easy decision-making Assess customer sentiment with sentiment analysis and accurately detect opportunities for improvement. Machine Learning : Machine learning is a subset of artificial intelligence.

Manufacturing 26

Manufacturing Sales Predictive Analytics Data Mining 26

InteractionMetrics

JULY 10, 2023

“…for most [machine learning] projects, the buzzword “AI” goes too far. Natural language processing in particular enables sentiment analysis, entity recognition, text classification, and topic modeling. Used properly, AI can extract meaning from unstructured text.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40

Intercom

AUGUST 11, 2022

You’re able to layer in some technology, artificial intelligence, and machine learning to understand what’s going on so you can process and get to the insight that tells you exactly what’s going on. Our main challenge is awareness” Liam: And what’s next? Our main challenge is awareness.

Start-ups 59

Start-ups NPS Artificial Intelligence Sentiment Analysis 59