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Metrics Matter: The 4 Types of Code-Level Data OverOps Collects

OverOps

To answer this question, we recently created a framework that helps organizations pinpoint critical gaps in data and metrics that are holding them back on their reliability journeys. Code Metrics. Transactions & Performance Metrics. System Metrics. Are there any blocked threads related to this failure?

Metrics 207
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Trusted AI Cornerstones: Performance Evaluation

DataRobot

In this installment, I’ll cover four key elements of trusted AI that relate to the performance of a model: data quality, accuracy, robustness and stability, and speed. The performance of any machine learning model is tightly linked to the data it was trained on and validated against. Quality Input Means Quality Output.

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Automating Model Risk Compliance: Model Development

DataRobot

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . No longer is the modeler only limited to using linear models; they may now make use of varied data sources (both structured and unstructured) to build significantly higher performing models to power business processes.

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Automating Model Risk Compliance: Model Validation

DataRobot

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Further, we will discuss how DataRobot is able to help streamline this process, by providing various diagnostic tools aimed at thoroughly evaluating a model’s performance prior to placing it into production. Validating Machine Learning Models.

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What is AIOps?

CircleCI

AIOps uses machine learning and big data to assist IT operations. It might be easy to dismiss AIOps as yet another passing trend in a market flooded with AI-powered software as companies seek ways to market their machine learning tools. Effective AIOps acts as a frontline interpreter for all this data. DevOps vs AIOps.

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Upskilling And Reskilling: Ready To Future-Proof Your Workforce?

Hacker Earth Developers Blog

Retaining high-performing existing employees whose roles have become redundant Filling vacant roles in the organization through lateral hiring. So let’s weigh in the differences both the terms have for better clarification: Upskilling Reskilling It helps employees learn additional skills to perform better in their current job.

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CDM 2020: “Operationalizing CDM” Through Risk-Based Vulnerability Management

Tenable

Cox refers to FY2020 as a “readiness year,” in which federal agencies will become familiar with the concept of scoring their cyber risk and begin to evaluate their performance against a federal average. To learn more about risk-based vulnerability management, visit: [link].