UJET

DECEMBER 10, 2020

Contact centers have more in common with sports teams than you might think. Advanced NLP looks at sentences as a whole and can infer not only rudimentary key phrases but more complex intent, sentiment, tone, and nuanced requests. Machine learning isn’t just for AI. Michael Jordan had Scottie Pippen.

ML 72

ML Customer Service AI Sports 72

UJET

DECEMBER 10, 2020

Contact centers have more in common with sports teams than you might think. Advanced NLP looks at sentences as a whole and can infer not only rudimentary key phrases but more complex intent, sentiment, tone, and nuanced requests. Machine learning isn’t just for AI. Michael Jordan had Scottie Pippen.

ML 72

ML Customer Service AI Sports 72

Ameyo Callversations

AUGUST 24, 2022

Conversational AI, as a leading contact center automation technology, stands at the convergence of these two business sides. These efforts are based on a combination of AI, NLP and Machine Learning (ML). Sentiment Analysis for Chatbot Behavior. Increased Use of AI in Contact Centers.

AI 52

AI Sentiment Analysis Contact Center Artificial Intelligence 52

SugarCRM

APRIL 21, 2022

But using aspects of artificial intelligence (AI) or machine learning (ML) to augment workers’ knowledge can help prioritize workload focus. Also, the use of sentiment analysis helps automatically redirect sensitive incoming cases to more skilled or senior customer service/support agents.

CRM 29

CRM B2C Sentiment Analysis Artificial Intelligence 29

DMG Consulting

AUGUST 3, 2020

Interaction analytics (IA) is a highly valuable application for contact centers, with even higher potential for making major contributions to other enterprise departments. The pandemic has changed contact centers in what is hopefully a lasting way. The uses of IA have been expanding inside and outside of contact centers.

Contact Center 78

Contact Center Sentiment Analysis Artificial Intelligence ML 78

Comm100

DECEMBER 16, 2019

Customer-facing chatbots aren’t the only way to use AI in the contact center. and clearly defines key related terms like decision trees, natural language processing (NLP), machine learning (ML), and sentiment analysis. We predict 2020 will see even more interest and adoption of bots!

Sentiment Analysis 52

Sentiment Analysis ML AI Machine Learning 52