The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

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 ...

Data architects live in a world caged by bars of process, standards, and documented procedures—things many would consider a high ceremony lifestyle. As an industry, information technology has been ...

As AI adoption accelerates, only strong data governance can ensure trust, compliance, and value at enterprise scale.

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 ...

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 ...

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 ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

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 ...