DMG Consulting

JUNE 11, 2019

Examples of real-time analytics are real-time guidance, proactive servicing, predictive analytics, and behavior analytics. This brings us to our third pillar of AI in service organizations, machine learning (ML). Machine Learning. in a data set.

Contact Center 67

Contact Center AI Machine Learning Artificial Intelligence 67

Zendesk

OCTOBER 4, 2023

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. For example, making decisions, understanding context, and personalizing responses. Using data, AI continuously learns, making it a powerful tool for problem-solving.

Artificial Intelligence 52

Artificial Intelligence Sentiment Analysis AI Machine Learning 52

Ameyo Callversations

AUGUST 24, 2022

The Natural Language Processing (NLP) technology used in these bots uses predictive analytics to understand user intent from their conversation or queries raised. These efforts are based on a combination of AI, NLP and Machine Learning (ML).

AI 52

AI Sentiment Analysis Contact Center Artificial Intelligence 52

Ameyo Callversations

APRIL 21, 2022

Next-gen technologies such as AI, ML, NLP, AR/VR, and more are capable of helping reduce cost and improving metrics such as revenues, wallet and market share, and steady cash flows. These span from a basic service around storage, networking, and computing to advanced frameworks for using AI and ML models.

Contact Center 52

Contact Center Technology Technology Unstructured Data 52

Zendesk

NOVEMBER 3, 2023

Generative AI uses machine learning (ML) algorithms to analyze large data sets. In addition to our core ML/AI capabilities, Zendesk AI delivers GenAI that includes: Generative AI for agents that supercharges agents’ skill sets. How does generative AI work?

AI 52

AI Machine Learning Artificial Intelligence ML 52

ProProfs

MAY 10, 2023

The company uses Artificial Intelligence (AI) and Machine Learning (ML) to provide detailed insights and analytics to help clients make informed decisions about talent acquisition, development, and management. Predictive Analytics: Analyze candidate data and gain insights into potential performance to understand which role they fit in.

Artificial Intelligence 52

Artificial Intelligence AI Machine Learning Education 52

ProProfs

MAY 10, 2023

The company uses Artificial Intelligence (AI) and Machine Learning (ML) to provide detailed insights and analytics to help clients make informed decisions about talent acquisition, development, and management. Predictive Analytics: Analyze candidate data and gain insights into potential performance to understand which role they fit in.

Artificial Intelligence 52

Artificial Intelligence AI Machine Learning Education 52

Lumoa

NOVEMBER 21, 2023

It is a technique that uses Natural language processing (NLP) and machine learning (ML) to scour emotions, opinions, and perspectives. Thankfully, the most relevant AI development technologies evaluating customer feedback rely on sentiment analysis.

Customer Feedback 83

Customer Feedback AI Machine Learning Social Media 83

SugarCRM

JULY 15, 2021

Aided by machine learning (ML) and artificial intelligence, innovation is just a creative and “opportunistic” team away. Predictive Analytics: Making the Hard Things Easier. For us, innovation nurtures growth, simplifies the lives of employees all over the world, and removes an extra boring task from their daily lift.

Innovation 49

Innovation Predictive Analytics Artificial Intelligence CRM 49