Brad Bunn, DLA’s vice director, said training employees to use data and AI tools will help improve the agency’s supply chain forecasting and predictability.

With the right strategy and tool set, warehouse managers can segment their industrial networks in three steps.

A veteran of Google Search and DeepMind, Lerner co-founded Espresso AI to address what he calls the “runaway growth” of cloud ...

Co-authored by Shamnad Mohamed Shaffi of Amazon Web Services, Sunish Vengathattil of Clarivate Analytics, and Jinal Mehta of Amazon, the study explores how a cutting-edge data lakehouse architecture ...

Leidos VP Rob Linger warns data silos, misinformation and adversarial AI are major hurdles to U.S. information superiority in ...

"There’s more to breaking down silos than simply moving supply chain data into the cloud" - Blue Yonder's Chris Burchett.

Artificial intelligence is a key project for enterprise IT currently, but the difference between success and failure rests on ...

X Square Robot has raised funding to accelerate adoption of its Wall-OSS open-source foundation model and Quanta humanoids.

Abstract: Unstructured grids are widely used in the processing and interpretation of geophysical data with terrain due to their excellent ability to simulate shape. Among them, the efficiency of the ...

Learn how one higher education institution is modernizing and strengthening its endowment and fundraising strategy by ...

Abstract: A DW is needed to efficiently and continuously prepare data for practical real-time data analysis and forecasting with machine learning (ML) algorithms. This paper discusses extraction, ...