Fonolo

JANUARY 10, 2023

There is plenty to learn about artificial intelligence and its cousin, machine learning (ML). Some tasks definitely DO require the human touch, and AIs can help with that, too, by eliminating mundane tasks like data entry and staff scheduling, giving employees more time to focus on tasks that require a human touch.

Artificial Intelligence 91

Artificial Intelligence Contact Center Machine Learning ML 91

Comm100

DECEMBER 16, 2024

In this piece, well do a deep dive on customer service automation and the impact that it can create on the overall customer experience (CX). Machine Learning (ML) Uses algorithms to analyze data, identify patterns, and improve performance or make predictions without being explicitly programmed.

Customer Service 52

Customer Service Sentiment Analysis AI Social Media 52

Ameyo Callversations

JUNE 1, 2022

Employee Experience (EX) and Customer Experience (CX) – An Overview. Both EX and CX play a significant role in deciding how well your business runs. With Conversational AI, NLP and ML companies can understand users’ thoughts and experiences. The errors that are associated with manual data entry are also reduced.

AI 52

AI Artificial Intelligence CX Machine Learning 52

SugarCRM

FEBRUARY 28, 2023

Successful CX strategies go hand in hand with tech solutions that aid personalization and engagement. But with great volumes of data, there appears a new issue: data accuracy. Recent studies have shown that CRM data accuracy diminishes yearly by approximately 30%. How AI and ML Change Companies’ Data Strategy?

AI 26

AI Data Entry CX CRM 26

SugarCRM

FEBRUARY 7, 2023

Organizations today strive to achieve the perfect customer experience (CX) for each individual they interact with. And obviously, the CX executives bear the most significant load of ensuring smooth, streamlined customer interactions. Only 41% of CX executives today claim they have an AI strategy. ML also plays a role here.

CX 26

CX B2C B2B Engineering 26

SugarCRM

OCTOBER 26, 2023

Advanced sales forecasting capabilities, ideally powered by AI and ML, are essential to help you identify potential risks and opportunities. More than this, business automation helps you save time and resources by automating tasks such as lead nurturing, communications, and data entry.

CRM 29

CRM Predictive Analytics ML Data Entry 29