Data mining is an automated process of extracting meaningful patterns and useful knowledge from large sets of data. It is used in the field of artificial intelligence and machine learning to discover hidden relationships and trends in data that can be used to make informed decisions and improve performance in various areas, such as business decision making, outcome prediction, risk analysis, customer segmentation, product recommendation, among others.
The data mining process involves the use of data analysis techniques and algorithms, such as regression, classification, clustering, association and sequence mining, among others. These techniques enable the identification of patterns in data that can be used to make informed decisions and improve performance in various areas.
Reference: From Data Mining to Knowledge Discovery in Databases, Fayyad, U. and Piatetsky-Shapiro
Today we are going to explain the differences between a traditional CRM (Customer Relationship Management) and an intelligent CRM by applying technology that [...]
Read More »Cheap, infinite, safe and clean energy Artificial Intelligence from Thermonuclear Fusion research to sales generation or [...]
Read More »Artificial intelligence (AI) can change the way sales channels and customers are managed for manufacturers and distributors of consumer products, and can [...]
Read More »You now have everything you need to get down to work and start working with your company's data. After overcoming the first few hurdles of the [...]
Read More »
