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

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 ...

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 ...

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 ...

The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

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, ...

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 ...