Across every industry, engineers and scientists are in a race to clean and structure massive amounts of data for AI. Teams of computer vision engineers use labeled data to design and train the deep ...

Since OpenAI’s debut of ChatGPT in late 2022, every company has been jostling to move faster with AI. Big hardware players like Nvidia are selling more GPUs than ever, while large model builders like ...

The Office of the National Coordinator for Health IT has published a new quality data model (QDM) to be used for clinical guidelines, quality measures and clinical decision support. The QDM, formerly ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Improving the robustness of machine learning (ML) models for natural ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Few topics get tossed around as objects of intrigue, excitement and dread as much as ...

> The National Quality Forum has proposed an update to its Quality Data Model and an accompanying "style guide" for stakeholders who develop quality measures to help get patient quality data into EHR ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data is essential for the success of any artificial intelligence (AI) project, but ...

With unsustainably high costs and tremendous gaps in quality and patient safety, the health care system is ripe with opportunities for improvement. For years, many have seen quality measurement as a ...

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...