SurveySensum

JANUARY 16, 2025

Moreover, SurveySensum provides advanced features like reporting, dashboarding, and analysis with AI capabilities like machine learning models, GenerativeAI, etc enabling you to go beyond written words and take proactive measures to predict customer expectations and avoid any future issues. with the help of AI and ML.

Sentiment Analysis 52

Sentiment Analysis NPS AI Text Analytics 52

Ameyo Callversations

AUGUST 24, 2022

Keeping these challenges and customer expectations in mind, businesses will be more focused on creating and utilizing chatbots that are quite indistinguishable from humans. These efforts are based on a combination of AI, NLP and Machine Learning (ML). Sentiment Analysis for Chatbot Behavior.

AI 52

AI Sentiment Analysis Contact Center Artificial Intelligence 52

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. Sentiment Analysis: A process that uses NLP and ML technology to determine the emotional tone (negative, positive, or neutral) of a piece of text.

Contact Center 52

Contact Center AI Artificial Intelligence Compliance 52

VOZIQ

APRIL 11, 2023

This goes on to prove that with every customer concern, businesses get an opportunity for retention. Strong competition and the volatile nature of customer expectations are two things that drive the risk of churn. The plethora of information available via contact centers is crucial in keeping track of their sentiments.

Customer Retention 40

Customer Retention Sentiment Analysis ML Contact Center 40

VOZIQ

APRIL 11, 2023

This goes on to prove that with every customer concern, businesses get an opportunity for retention. Strong competition and the volatile nature of customer expectations are two things that drive the risk of churn. The plethora of information available via contact centers is crucial in keeping track of their sentiments.

Customer Retention 40

Customer Retention Sentiment Analysis ML Contact Center 40

Zendesk

OCTOBER 4, 2023

AI often powers intelligent customer service tools that assist with sentiment analysis, personalization, and problem-solving to streamline support interactions. AI makes intelligent automation possible using these techniques: Machine learning (ML) : A type of AI that utilizes algorithms to learn from the data it acquires.

Artificial Intelligence 52

Artificial Intelligence Sentiment Analysis AI Machine Learning 52

SugarCRM

APRIL 21, 2022

Engaging with a customer service/support agent working remotely is not unexpected. But the new normal customer expectations have adjusted to account for the fact that there may be, for example, a background noise on a call and that a supervisor may need to engage with an agent via Zoom.

CRM 29

CRM B2C Artificial Intelligence Sentiment Analysis 29

SurveySensum

SEPTEMBER 23, 2024

Ever felt like you were walking a tightrope, trying to keep your customers happy without falling off the edge? To ace the CX walk, you must find the sweet spot between meeting customer expectations and wowing them. Text and Sentiment Analysis: Turn those customer comments into gold. What’s in it for you?

CX 52

CX Customer Experience Social Media Text Analytics 52

InteractionMetrics

JULY 10, 2023

It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. So, is AI for customer experience just hype? Will AI capture the nuances of the customer experience? It depends.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40