Remove Alert Remove Benchmark Remove Book Remove Evaluation
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What is MLOps and Why Do You Need It?

Advancing Analytics

Data Scientists will be able to track experiments, models and parameters to allow them to benchmark performance against other models or return to previous models. Evaluate Phase. After a model has survived the ‘Explore Phase’ it needs to be effectively evaluated. This doesn’t just include accuracy. Develop Phase.

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Peer-Benchmarked Threat Resilience Metrics

FS-ISAC

And could we get that benchmarked against our peers? Since it is a shared test plan, all Index consumers consistently use the same test procedures to arrive at their Threat Resilience Metric – and that is how it is benchmarkable. The latest Q1 2023 benchmark is 63%. An initial Threat Resilience Metric of 45%-55% is not unusual.

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Peer-Benchmarked Threat Resiliency Metrics

FS-ISAC

And could we get that benchmarked against our peers? Since it is a shared test plan, all Index consumers consistently use the same test procedures to arrive at their Threat Resilience Metric – and that is how it is benchmarkable. The latest Q1 2023 benchmark is 63%. An initial Threat Resilience Metric of 45%-55% is not unusual.