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Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Objective: This study aimed to compare 3 clinical data management architectures—clinical data warehouses, clinical data lakes, and clinical data lakehouses—by analyzing their performance using the ...

The evolution of vulnerability management in the agentic era is characterized by continuous telemetry, contextual prioritization and the ultimate goal of agentic remediation.

Abstract: Data management is indispensable for informed decision-making in the big data era. In the meantime, Large Language Models (LLMs), equipped with billions of model parameters and trained on ...

Congress can authorize speed, but accountable structures must be in place before the next emergency loan program begins.

Abstract: The exponential growth of data from sources such as social media, IoT, and enterprise systems has catalyzed a transformative shift in data management practices. This paper explores the ...

The road to a successful master data management (MDM) program can be full of detours and dead ends. In this white paper, Dan Power and Julie Hunt, from Hub Designs, identify the eight worst practices ...

Economic development legislation championed by Oregon Gov. Tina Kotek is poised to dramatically expand the state’s tax breaks for data centers, which are already among the largest in the nation.