Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...
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Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
If you have lots of spreadsheets you would like to analyze, but unfortunately don’t have the time to invest in trawling through each one to any great depth, but known they contain a wealth of valuable ...
Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the gears of recommendation algorithms spin under the hood. These systems sort ...
SAP's Impact Measurement and Valuation (IMV) framework translates complex ESG data into monetary values, helping energy firms ...
This is a shared framework for conducting analyses and assessments of risks to information integrity. This approach sets a standard that can be tailored to the needs of specific contexts or teams yet ...
The value of data analytics (DA) and artificial intelligence (AI) are widely recognized, but the challenge lies in precisely quantifying their ROI. The dynamic nature of DA and AI means that their ...
To address critical research challenges in heavy-ion collisions at Fermi-energy regimes—specifically targeting the nuclear equation of state (nEoS), Femtoscopic interferometry of light nuclei, and ...
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