Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

Learn how to create burndown charts to track project progress, improve team performance, and download free templates to get ...

Preconstruction played a critical role in shaping those outcomes. By keeping end goals front and center, the Mortenson team ...

The consumer goods giant is taking its advanced analytics approach and adding AI for greater value, but its data leader, ...

AMPP announces its 2026 Global Ambassador Class, uniting professionals worldwide to amplify AMPP’s mission through storytelling and social media. Our ambassadors strengthen the AMPP brand by telling ...

REDSTONE ARSENAL, Ala. –Maintaining and documenting numbers for Army Reserve’s growing network of automated, data-driven ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Most AI initiatives fail to deliver results, but chemical companies are finding success by learning what really works.

The breadth and depth of recent AI-driven advancements is forcing the networks underpinning data center operations to adapt ...

Perplexity offers a minimalist, search-like interface that backs up its statements with citations and references. In ...

The modern supply chain is a sprawling international network that has to be able to react to sudden swings in demand, new ...

Comparing how AI systems and humans did on real work assignments shows how close tools such as ChatGPT are to replacing the ...