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Strategic Risk Management

LogisManager

This comprehensive guide provides insights into the proactive processes of identifying, assessing, and mitigating risks associated with strategic decisions. Strategic risk management is a process designed to identify, assess, and mitigate potential internal and external risks associated with strategic decisions.

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Chart a course for Operational Excellence with PagerDuty’s Operational Maturity Model by Alex Quintana

PagerDuty

With the PagerDuty Operational Maturity Model , IT teams can reduce the total cost of ownership with better efficiency, mitigate the risk of operational failure to ultimately protect customer experience, and shift from a reactive state towards a more proactive approach—by using the PagerDuty Operations Cloud.

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The Importance of Risk Analytics

LogisManager

Utilizing risk management analytics, organizations can precisely measure risk exposures and implement strategies to mitigate them, ensuring a robust risk management framework. The RMM not only assesses ERM program maturity but also highlights gaps in risk coverage, providing actionable insights and benchmarking against industry standards.

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Risk-Based Approach

LogisManager

Similarly, browse our readiness library to benchmark your compliance program. LEARN MORE Mitigate. Get a list of controls you already have in place that are mitigating a risk, as well as suggested controls for new risks, to ensure you’re building your risk program on a foundation of best practices. LEARN MORE Assess.

Audit 52
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Strategic Risk Management

LogisManager

This comprehensive guide provides insights into the proactive processes of identifying, assessing, and mitigating risks associated with strategic decisions. Strategic risk management is a process designed to identify, assess, and mitigate potential internal and external risks associated with strategic decisions.

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What Is Power Usage Effectiveness (PUE) in the Data Center?

Pure Storage

This article explores power usage effectiveness (PUE) and its significance in measuring and mitigating data center power consumption. PUE serves as a benchmark for assessing the efficiency of data centers in terms of energy consumption. However, industry benchmarks for average PUE of data centers worldwide hover around 1.58.

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TPUs vs. GPUs: What’s the Difference?

Pure Storage

Benchmarks comparing TPUs and GPUs in machine learning tasks have shown that TPUs often outperform GPUs in terms of training speed and efficiency. For example, Google’s own benchmarks have demonstrated significant speedups in training deep learning models using TPUs compared to GPUs.