Fonolo

MAY 23, 2023

It harnesses advanced analytics and machine learning algorithms to dynamically adapt interactions based on real-time data and individual preferences. Real-Time Analytics Use advanced analytics tools to process and interpret data in real time, enabling dynamic personalization during customer interactions.

Contact Center 106

Contact Center Machine Learning Social Media Artificial Intelligence 106

Comm100

DECEMBER 12, 2023

Built on advanced machine learning models (LMs) like GPT and with vast datasets, Generative AI bots can hold dynamic, human-like conversations in every interaction. Be it through social media, live chat, email, or SMS, the transition should be fluid and consistent. Now, it’s about being one step ahead.

Innovation 81

Innovation Customer Service Omnichannel Social Media 81

Helpt

FEBRUARY 14, 2024

This data comes from various sources, including social media, transaction records, and IoT devices, offering a goldmine of insights for those who can harness it. Diagnostic Analytics : Moving a step further, diagnostic analytics seeks to understand why something happened.

Machine Learning 52

Machine Learning Social Media Data Mining Artificial Intelligence 52

Zendesk

SEPTEMBER 5, 2023

Regardless of whether a customer initiates a conversation via business text messaging , social media, or email, the contact center agents have access to the entire customer history, including previous interactions and context. Agents can stay organized and effective regardless if they’re working over the phone, social media, or SMS.

Contact Center 52

Contact Center Omnichannel Social Media AI 52

Zendesk

NOVEMBER 3, 2023

Generative AI uses machine learning (ML) algorithms to analyze large data sets. That means you can feed artificial intelligence a bunch of existing information on a topic, so it can learn and find patterns and structures. How does generative AI work? Generative AI can also adapt to context and produce unique, creative content.

AI 52

AI Machine Learning Artificial Intelligence ML 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. By the way, did you know that Lumoa’s analytics is powered by AI?

Net Promoter Score 178

Net Promoter Score Customer Experience B2C Social Media 178

ECXO

JULY 26, 2023

AI, automation and machine learning mean solutions are available to meet these expectations – at scale. Leverage predictive modelling Leveraging predictive models helps you anticipate customer behaviors and preferences. The more complete the customer view – the more accurate the predictions.

Predictive Analytics 98

Predictive Analytics Education Touchpoint CX 98