In art, brush marks can be seen as a flaw or the signature of a noted painter. Similarly, what appears to be operational ...

When asked about their main challenges in adopting AI over the next two years, C-suite leaders cited data issues as their top ...

One fact about machine learning and data algorithms that may surprise business users is that there aren’t actually that many of them. This topic can get overwhelming for busy professionals. But in ...

We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...

Much of our reams of data sit in large databases of unstructured text. Finding insights among emails, text documents, and websites is extremely difficult unless we can search, characterize, and ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

As computing power has increased and data science has expanded into nearly every area of our lives, we have entered the age of the algorithm. While our personal and professional data is being compiled ...

Using Big Data for Good Requires Testing, Transparency, Precision, and Due Diligence Big data can help drive decisions in almost every aspect of our lives—from the way financial products are ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

As a biomedical informatics researcher, Nigam Shah spends his days using math to try to make sense of giant, unwieldy data sets. He’s used data mining to identify off-label drug use and to create ...