You can't build, validate, or measure the success of a machine learning model without the right amounts and types of data, notes Yiwen Huang, CEO of r2.ai, an automated machine learning platform.

A data privacy expert explains how machine learning algorithms draw inferences and how that leads to privacy concerns.

Putting data in the hands of every business user has become fundamental in today’s enterprise ecosystem. As an end-to-end data science and machine learning platform, Dataiku enables any ...

Safety-critical machine-learning systems are usually trained on closed data sets that are curated and labelled by human workers—poisoned data would not go unnoticed there, says Alina Oprea, a ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data ...