Logicalware

JULY 26, 2023

Artificial Intelligence (AI) has transformed contact centres, improving customer experiences and operational efficiency. What is Artificial Intelligence (AI)? Artificial Intelligence (AI) is a field of computer science focused on creating intelligent machines that can learn, reason, and perform tasks like humans.

Artificial Intelligence 52

Artificial Intelligence AI Sentiment Analysis Machine Learning 52

Lumoa

JANUARY 8, 2024

And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). Sentiment Analysis: Picture this – Let’s say Apple launches its newest iPhone.

Sentiment Analysis 157

Sentiment Analysis Text Analytics Machine Learning ML 157

Callminer

APRIL 20, 2018

Machine learning and artificial intelligence (AI) are two technologies that have proven to be much more than passing trends for contact centers. Used together, machine learning and AI empower contact centers to analyze data and use it to make decisions to enhance the customer experience.

Contact Center 186

Contact Center Customer Experience Machine Learning Sentiment Analysis 186

Execs In The Know

FEBRUARY 5, 2024

Hyper-Automation is Revolutionizing BPO Operations Hyper-automation takes automation a step further by integrating multiple advanced technologies and platforms, such as artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA), to optimize as many business processes as possible across a company.

Healthcare 59

Healthcare Sentiment Analysis Artificial Intelligence ML 59

Aquire

JULY 1, 2021

The most advanced function of this tech is using machine learning to learn over time. For example, people can ask a question to a pop-up widget (often looking like a robot with antennas) and artificial intelligence will make sure the conversation sounds and feels natural. Machine learning (ML).

AI 125

AI Artificial Intelligence Machine Learning ML 125

Lumoa

JANUARY 24, 2024

When to use text analytics This situation is where automated text analytics in customer feedback is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic. Its features include sentiment analysis, language detection, and AI-driven insights, which cater to a wide range of business needs.

Text Analytics 83

Text Analytics Customer Feedback Net Promoter Score Sentiment Analysis 83

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. The next step to reducing customer churn is fully understanding why it happens.

AI 40

AI Machine Learning Sentiment Analysis Artificial Intelligence 40