FAIRFAX, Va.--(BUSINESS WIRE)--In the year since the initial release of the Operational Resilience Framework (ORF) by the Business Resilience Council, the ORF working group has expanded the framework ...

Legacy metrics—uptime, latency, MTTR—no longer capture operational value in an AI-driven world. Mean time to prevention (MTTP ...

After several months of dealing with markets in constant fluctuation due to the pandemic, most companies have taken the decision to close their doors and “wait until it all passes.” In some cases, ...

As AI moves to operational reality, PLM companies are prioritizing faster decisions and agentic intelligence integration over ...

A newly operational model, known as the Artificial Intelligence Forecasting System (AIFS), has been launched by the European Centre for Medium-Range Weather Forecasts (ECMWF), an intergovernmental ...

As the cloud continues to gain steam, enterprises are grappling with the burning issue of how to seamlessly visualize both public cloud and on-premise estates. Through a cloud operational model, ...

Within a loss distribution approach (LDA) framework, we propose to model catastrophic operational risk using a compound Neyman–Scott clustering model. The particularity of this compound model is that ...

Empowers its business groups to operate with more autonomy and agility, in order to speed up execution of its strategy Embeds sales teams into business groups to better seize growth opportunities and ...

In this paper, we construct a capital model for operational risk based on the observation that operational losses can, under a certain dimensional transformation, converge into a single, universal ...

Learn about model risk, its causes, management strategies, and real-world examples from financial industry pitfalls. Unlock ...