Predictive analytics is the art and science of proposed predictive systems and models. With tuning over time, these models can predict an outcome with a far higher statistical probability than mere ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can be ...

I’m excited to head up the predictive analytics team within the HDR consulting group. However, I’m not sure people know what predictive analytics is, or who does it, or what it’s used for. As HDR’s ...

UPMC is on the forefront of using big data to improve patient outcomes. The system started collecting patient data more than 30 years ago and now has a robust platform to support predictive analytics ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Compared to other industries, healthcare as a whole has been a late adopter of big data predictive analytics. This may be due in part because of concerns about patient confidentiality and fears of ...

An oft-cited 2012 exposé in The New York Times revealed the extent of Target’s data analytics capabilities. By analyzing customers’ purchasing patterns, Target was able to identify, and market to, a ...