SAP's Impact Measurement and Valuation (IMV) framework translates complex ESG data into monetary values, helping energy firms ...
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 ...
Using an expert consensus-based approach, a netball video analysis consensus (NVAC) group of researchers and practitioners was formed to develop a video analysis framework of descriptors and ...
2UrbanGirls on MSN
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 ...
We developed a novel Systemwide Liquidity (SWL) framework to identify liquidity stress in the system that goes beyond banks and to assess the role played by non-bank financial institutions (NBFIs) in ...
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 ...
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 ...
The HOLiFOOD consortium is reimagining food safety risk assessment for the benefit of all stakeholders in the food chain ...
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