The volumes of genetic, biodiversity, and environmental data that can be obtained from individual studies are growing at an impressive rate, as are the public repositories sharing these data. Such ...

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 ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

The Heisenberg uncertainty principle, which has origins in physics, "states that there is a limit to the precision with which certain pairs of physical properties of a particle, such as position and ...

Forbes contributors publish independent expert analyses and insights. I write about digital marketing, data and privacy concerns. When it comes to marketing, historical data should always be a driver ...

If you’re running a business that handles a lot of data, you may have noticed that data analytics has become a key driver for identifying new opportunities. Various businesses are leveraging different ...

Willamette's MBA concentration in management science and quantitative methods (MSQM) covers a broad range of skills in information systems and mathematical models. These skills are especially ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

SAN FRANCISCO--(BUSINESS WIRE)--ZEPL today moved its interactive, multi-tenant environment platform out of beta and is now generally available. Designed for data scientists to collaboratively execute ...

Garbage in, garbage out big data analytics models demonstrate that people are just as important as data sets and algorithms If you are like me, you were pretty convinced that Secretary Clinton was ...