Join the Institute for Data-Intensive Engineering and Science (IDIES) on Thursday, Oct. 16, to share discoveries, practical ideas, and insights related to big data research across all disciplines; reg ...

On September 11, a delegation from Sun Yat-sen University's School of Intelligent Engineering visited our institute for ...

The use of data analytics has brought about changes, in various industries, including civil engineering firms operating in both Austin and San Antonio. As data becomes readily available in forms like ...

Data engineering and data science are complementary disciplines that have come to define modern approaches to managing, processing, and extracting value from vast and complex data sets. Data ...

KDNuggets, a community site for data professionals, ranked “We Don’t Need Data Scientists, We Need Data Engineers,” by Mihail Eric, a venture capitalist, researcher, and educator, as its top story of ...

Seeking an introduction to widely used big data engines and frameworks? Download our whitepaper for insights into the fundamentals of data engineering for machine learning. Including information on ...

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data ...

“The data science master’s program at UB has helped me to bridge the technical gaps between my undergraduate mathematics background and the skills required to start out in the data science industry.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As businesses continue to harness Big Data to drive innovation, customer engagement and ...

The field of orthopedics is undergoing a transformative shift with the integration of artificial intelligence (AI) and big data. These technologies are ...