In the remainder of this paper, I will show you what I mean by introducing the risk-decision methodology (R-DM). R-DM addresses a conceptual short­coming in the evaluation of multiple COAs in MDMP by ...

Scaling companies succeed not by eliminating risk but by understanding and managing it intelligently. Most executives I meet ...

Conventional technologies used in cultural heritage preservation typically operate as static monitoring tools or repositories ...

A new study led by a University of California, Irvine scientist reveals that airlines can make smarter tradeoff decisions to ...

The president hasn’t named a successor to Jerome H. Powell, but his insistence on someone who will lower interest rates has ...

In 2021, Uganda’s lending rate averaged 9.68 percent, compared to Kenya’s 6.14 percent where risk-based lending is widely implemented Thank you for reading Nation.Africa Show plans Lending interest ...

As enterprises expand into a multi-cloud ecosystem, the need for role-based data masking is growing exponentially. IT leaders ...

Key points The deep sea is one of Earth's most fragile and least understood environments.A group of scientists led by CSIRO ...

Risk profiling approaches vary: 55 percent of firms use questionnaires at the account level, while 45 percent apply a client-level approach. Only 35 percent of firms supplement these with risk and ...

Barre’s research has identified seven specific cognitive biases affecting cyber security governance: optimism bias, pessimism bias, herding bias, confirmation bias, ambiguity bias, overconfidence bias ...

Decision Intelligence is that layer — weaving together data and decisions across ERP, supply chain planning, transportation, ...

Edge intelligence is the ability to process and compute data closer to where it’s generated, which is at the edge of a network. Moving computation closer to data sources like IoT devices with sensors ...