Intercom, Inc.

SEPTEMBER 9, 2022

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” It’s all about artificial intelligence and machine learning.

Machine Learning 249

Machine Learning ML Unstructured Data AI 249

Customer Think

SEPTEMBER 9, 2021

InMoment bolsters set of customer experience management (CXM) solutions with latest acquisition adding robust natural language processing (NLP), and machine learning (ML) to InMoment's XI Platform.

Unstructured Data 52

Unstructured Data CXM ML Machine Learning 52

Intercom

MAY 31, 2023

Deep learning algorithms are highly effective at processing complex and unstructured data, such as images, audio, and text, and have enabled significant advances in a wide range of applications such as natural language processing, speech recognition, and image recognition systems that include facial recognition, self-driving cars, etc.

AI 72

AI Machine Learning Artificial Intelligence Unstructured Data 72

SugarCRM

OCTOBER 24, 2023

However, with recent technological advancements, Artificial Intelligence (AI) and Machine Learning (ML) capabilities have become infused in all sorts of tools, and CRMs are no exception. Today’s CRM tools have been infused with predictive analytics and machine learning capabilities.

CRM 26

CRM AI Invoicing Predictive Analytics 26

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

InteractionMetrics

JULY 10, 2023

“…for most [machine learning] projects, the buzzword “AI” goes too far. It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. So, is AI for customer experience just hype? It depends.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40