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CRQ compels executives to confront the inherent uncertainty of cyber risk that qualitative methods tend to conceal. While a quantitative risk model that illustrates a range of possible losses might ...

In our opinion, the data reminds investors and practitioners that AI hype does not equal budget immunity. While earlier data documented robust intent to invest, the C-suite view presented above ...

Abstract: Understanding categorical data with vague qualitative values by forming clusters is crucial in many data-driven AI fields. Compared with numerical data with its quantitative values embedded ...

Thematic and framework synthesis facilitate efficient synthesis of large numbers of studies or plentiful data. Finally, judicious use of Grading of Recommendations Assessment, Development and ...

By elevating patient perspectives from an afterthought to a core part of the process, payers can create a system that aligns ...

Since 2017, the Resiliency Center has been a hub for coordinating and providing well-being assessment and intervention across University of Utah Health. We house resources, programs, and services ...

The overhaul will require more and better data gathering to fill gaps in knowledge, including indications of supply chain ...

The new guidance builds on previous years’ by increasing the focus on transparency and expanding, per statute, to include ...

Welcome to your gateway to the IMF's global economic data. Our new data portal provides streamlined access to timely, reliable, and easy-to-understand macroeconomic and financial data. While the ...

We distinguish universal features of quality from those specific to methodology and offer a set of minimally prescriptive prompts to assist with the assessment of generic features of qualitative ...

This dataset was collected and prepared by the CALO Project (A Cognitive Assistant that Learns and Organizes). It contains data from about 150 users, mostly senior management of Enron, organized into ...