Taylor Reach Group

JULY 17, 2017

MGI research found that 45 percent of work activities could be automated using current technologies; 80 percent of that activity is attributable to existing machine-learning capabilities. Facebook has patented a technology through which your ability to repay a loan is determined by your social network.

Machine Learning 251

Machine Learning Customer Experience Artificial Intelligence E-commerce 251

DMG Consulting

FEBRUARY 12, 2019

It uses data mining, statistical techniques and machine learning to identify relationships, patterns and trends to anticipate the likelihood future events and behaviors, as well as their business impact. Technology will be used to “work smarter, not harder.” Analytics will Continue to be a Differentiator.

Contact Center 74

Contact Center AI Predictive Analytics Data Mining 74

DMG Consulting

APRIL 16, 2019

It’s hard to overstate how much the contact center technology sector has progressed in the past 15 years. We have progressed from interactive voice response (IVR) systems to intelligent virtual assistants (IVAs), from process optimization to process automation, and from technology as an enabler to technology as a partner.

Contact Center 48

Contact Center Predictive Analytics Machine Learning Artificial Intelligence 48

Helpt

FEBRUARY 14, 2024

It's the foundation of data analysis, involving the use of key performance indicators (KPIs) and other metrics. It involves more in-depth data mining and correlations. It's a forward-looking approach, making educated guesses based on historical data.

Machine Learning 52

Machine Learning Social Media Data Mining Artificial Intelligence 52

SugarCRM

OCTOBER 12, 2021

Marketing technology moves fast. By combining techniques from data mining, statistics and machine learning, marketing automation platforms—such as our very own Sugar Market—allow organizations to parse and find meaning in large amounts of customer data. Marketing automation has been around for a while now.

Predictive Analytics 47

Predictive Analytics Data Mining Invoicing CRM 47

SugarCRM

DECEMBER 14, 2023

For manufacturers, data analytics are a critical part of their establishments. In this new technological era, the future of manufacturing is connected facilities, where data sourced from all departments and machines flows into a central repository, being processed and ready to use.

Manufacturing 26

Manufacturing Sales Predictive Analytics Data Mining 26

SugarCRM

JUNE 22, 2023

IoT and CRM: Better Together IoT is the connection of devices via the internet, while CRM is the collection of customer data through data mining with the purpose of providing useful insight into customer behavior for marketing and sales purposes. Since we know that CRM requires data, combining it with IoT is a perfect match.

Manufacturing 26

Manufacturing CRM Data Mining Omnichannel 26