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. Robot-led workforce automation is not going away. In the world of AI, the line between influence and manipulation is clouded with intent.

Machine Learning 251

Machine Learning Customer Experience Artificial Intelligence E-commerce 251

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.

Manufacturing 26

Manufacturing CRM Data Mining Omnichannel 26

SugarCRM

OCTOBER 12, 2021

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. And with more and more businesses using some form of automation, it’s not going away soon.

Predictive Analytics 47

Predictive Analytics Data Mining Invoicing CRM 47

SugarCRM

DECEMBER 14, 2023

There must be a protocol and standard used for data collection and processing, a protocol that ensures quality. Data Mining : Data mining is the process of taking large sets of data and finding patterns. Only in this way can organizations leverage said data for decision-making.

Manufacturing 26

Manufacturing Sales Predictive Analytics Data Mining 26