I believe business and tech leaders must recognize emerging AI trends in data science because these trends not only drive innovation but also provide a competitive edge by enabling more accurate ...

Data science has become an important catalyst for innovation. With this, businesses can analyze massive amounts of data to derive insights, anticipate trends and make informed choices.

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

It involves understanding metadata knowledge graphs and how different layers of the modern data stack come together. If one wants to do anything with data, they need a stack of tools to get it done.

Data Science, with its computational muscle and agile toolkits (Python, R, SQL, machine learning), has evolved into the go-to degree for roles demanding immediacy, precision, and automation.

Altair, a global leader in computational intelligence, is acquiring Cambridge Semantics, a modern data fabric provider and creator of an analytical graph database that accelerates the creation of ...

Innovation and collaboration are housed within the McVey Data Science building. The new academic building is home to the Departments of Emerging Technology in Business + Design (ETBD); Statistics; and ...