The data landscape in higher education is as complex as in any major business in the world. Colleges and universities function as small towns, so to say that post-secondary education delivers services ...
In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...
Hexagon’s Mining division has unveiled HxGN MinePlan Block Model Manager, a solution that aims to transform how mining companies manage block models. The Model Manager enables users to simultaneously ...
Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...
The sudden and severe economic shocks from the pandemic created model risk challenges, because of the magnitude of behavioural and market changes, and the pace at which these changes occurred.
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An integrated data model for next-generation bridge maintenance
Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...
As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and multiplied. Instead of just ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Grid reliability, operational efficiency and regulatory compliance are at the top of every electric utility’s priority list. Aligning every planning and operations silo across the organization to ...
An i ncreasingly complex set of rules governs utility electric grids, and the financial consequences of failing to comply are rising. Utilities also face a business imperative to maximize grid ...
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