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. Ask for a Free demo!

Omnichannel 52

Omnichannel AI Customer Service Contact Center 52

Lightico

JUNE 6, 2024

IDP (Intelligent Document Processing): The Mastermind IDP elevates automation further by combining OCR’s text recognition with machine learning (ML) and natural language processing (NLP). IDP Pros: Intelligent Automation : Leverages ML and NLP to understand document context, extracting meaningful data with high accuracy.

AI 52

AI Unstructured Data Machine Learning Compliance 52

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. Instead of repetitive manual tasks, your teams can focus on fostering deeper customer relationships or developing innovative ideas.

CRM 26

CRM AI Invoicing Predictive Analytics 26

Comm100

FEBRUARY 17, 2025

In the sports betting industry, companies are adopting AI to help connect disparate data points to create smarter predictions, better engagement, and greater efficiency. AI systems can process both structured and unstructured data at scale. With AI, traditional algorithms have been infused with new superpowers.

Sports 52

Sports AI Machine Learning Gaming 52