Ameyo Callversations

AUGUST 24, 2022

Conversational AI, as a leading contact center automation technology, stands at the convergence of these two business sides. The Natural Language Processing (NLP) technology used in these bots uses predictive analytics to understand user intent from their conversation or queries raised. Human-like Chatbots.

AI 52

AI Sentiment Analysis Contact Center Artificial Intelligence 52

Aquire

AUGUST 2, 2021

These conversational programs have proved a popular application of advanced tech, such as machine learning and natural language processing (NLP). The second type uses more powerful artificial intelligence, machine learning and predictive analytics, and are therefore better equipped to “sound” human and learn as they go.

Machine Learning 59

Machine Learning Predictive Analytics Healthcare AI 59

Zendesk

OCTOBER 25, 2023

AI for employee experience means leveraging artificial intelligence technology to improve all aspects of the employee journey, including onboarding, performance, development, support from internal service teams, and access to information to perform daily tasks. What is AI for employee experience?

AI 52

AI Sentiment Analysis Artificial Intelligence Start-ups 52

SugarCRM

AUGUST 19, 2019

Driven by the phenomenal pace of technology and ever-increasing customer expectations, modern manufacturing businesses – from producers through to wholesalers and distributors – have had to adapt to a entirely new set of rules. But the application of IoT technology goes far beyond lifestyle-enhancing gadgets.

Manufacturing 20

Manufacturing Sales Predictive Analytics CRM 20

Zendesk

SEPTEMBER 5, 2023

Businesses are delivering on these expectations by embracing omnichannel technology—the integration of communication channels into a single interface. Discover the significance of delivering exceptional customer experiences , and learn how to leverage this approach to stay ahead in competitive markets.

Contact Center 52

Contact Center Omnichannel Social Media AI 52

Lumoa

FEBRUARY 9, 2023

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. With AI, you can get answers to most of your “why” questions.

Net Promoter Score 178

Net Promoter Score Customer Experience B2C Social Media 178

Sprinklr

OCTOBER 20, 2021

Harness machine learning and AI to generate insights, enrich data, highlight anomalies, and recommend next actions. Extensive source coverage: how many sources of data does the technology enable, including social, traditional media, web sources, first-party data, as well as integrations and partnerships?

Social Media 85

Social Media Unstructured Data CXM Social Listening 85

Lumoa

MARCH 20, 2018

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. With AI, you can get answers to most of your “why” questions.

Net Promoter Score 114

Net Promoter Score Customer Experience B2C CEM 114

Lumoa

MARCH 20, 2018

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. With AI, you can get answers to most of your “why” questions.

Net Promoter Score 64

Net Promoter Score Customer Experience B2C CEM 64