Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Multiple times over the last decade, this column has covered the issue of the importance of data quality in decision making, both by executives as well as machines. Back in 2014, when the “big data” ...

As data sources and volumes grow exponentially year by year, we are seeing an increasing interest in automated solutions for managing data quality. So much data is being generated and consolidated so ...

In this special guest feature, Jörg Schad, Head of Machine Learning at ArangoDB, discusses the need for Machine Learning Metadata, solutions for storing and analyzing Metadata as well as the benefits ...

Clinical trials have become increasingly expensive, time-consuming, and complex, leading sponsors to look for more efficient ways to conduct their business. Risk-based quality management (RBQM) is ...

When people hear “artificial intelligence,” many envision “big data.” There’s a reason for that: some of the most prominent AI breakthroughs in the past decade have relied on enormous data sets. Image ...