Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

In 2020, people as a whole generated 2.5 quintillion data bytes every day. While not all of those are collected by businesses, a large portion of them are, leaving an insane amount of data that ...

As data grows, organizations are looking for ways to dig up insights from underneath layers of information. Data mining solutions provide the tools that enable them to view those hidden gems and ...

A variety of software products and services are being introduced to analyze complex biological and chemical data in an intuitive and efficient manner. Data mining has been defined as “the nontrivial ...

A video touting software created by Raytheon to mine data from social networks has been attracting an increasing amount of attention in the past few days, since it was uncovered by Ryan Gallagher at ...

Data miners analyze data from different perspectives and summarize it into useful information - information that can be used to increase revenue, cut costs, or both. Data mining is primarily used ...

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships. Organizations today are gathering ever-growing volumes of ...

The second step in data mining process is the application of various modeling techniques. These are used to calibrate the parameters to optimal values. Techniques employed largely depend on analytic ...

Every interaction your company has with a customer or supplier likely generates a data trail–and that data provides a wealth of information for marketers. Extracting that information and getting it ...