Business today depends on data. The ability to efficiently acquire, access, and analyze information is essential to effective decision-making. And better decisions are key to building better ...

Machine learning, or ML, is growing in importance for enterprises that want to use their data to improve their customer experience, develop better products and more. But before an enterprise can make ...

Big data it is often hyped, but I encourage taking a more realistic stance. I’ve seen many organizations attempt to adopt big data solutions and ultimately fail. I fear these missteps may eventually ...

At Data Summit Connect 2020, Thomas Cook, director of sales, Cambridge Semantics, explained the basics of knowledge graphs and how they leverage natural-language processing to automate the ...

You just updated your LinkedIn profile with the sexiest job of the 21st Century, according to Harvard Business Review. That’s right: you’re a data scientist. You’re pulling down a six-figure salary.

For design engineers, an artificial intelligence (AI) workflow encompasses four steps: data preparation, modeling, simulation and testing, and deployment. While all steps are important, many engineers ...

In this special guest feature, Cari Jaquet of Paxata spotlights the rise of IoT data flows and the importance of data preparation solutions designed to assist data scientists and data analysts in ...

Turning his attention to the extremely time-consuming task of machine learning data preparation, Dr. James McCaffrey of Microsoft Research explains how to examine data files and how to identify and ...

With the 65-nanometer process technology node on the horizon, pressure is growing in the data preparation and mask manufacturing communities to create ways to handle an increasingly complex data flow.