Intercom, Inc.

SEPTEMBER 9, 2022

Here are some of our favorite takeaways from the conversation: Neural networks have made significant headway in the past five years, and they’re now the best way to deal with unstructured data such as text, images, or sound at scale. ML teams tend to invest a fair share of resources in research that never ships.

Machine Learning 249

Machine Learning ML Unstructured Data Start-ups 249

Hodusoft

OCTOBER 17, 2024

Machine Learning (ML) In the last few years, ML is proving to be a game changer for call centers and customer-facing organizations. This technology is crucial for analyzing customer sentiments and extracting insights from unstructured data, such as social media comments or open-ended survey responses.

Omnichannel 52

Omnichannel AI Customer Service Contact Center 52

InteractionMetrics

JULY 10, 2023

It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. Unstructured data is invaluable for understanding customers’ feelings and thoughts, but only if your analysis respects the nuances. It depends.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40

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. Because of the data-backed content, such campaigns will likely have higher conversion rates.

CRM 26

CRM AI Invoicing Predictive Analytics 26