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Why you should care about debugging machine learning models

O'Reilly on Data

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. For model training and selection, we recommend considering fairness metrics when selecting hyperparameters and decision cutoff thresholds.

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Utilize The Effectiveness Of Professional Executive Dashboards & Reports

datapine

By gaining the ability to gather, organize and analyze the metrics that are most important to your organization, you stand to make your business empire more intelligent than ever before – and executive reporting and business dashboards will help you do just that. We are indeed living in a time rich in invaluable digital data.

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How To Extract Maximum Value Of Your Customer Service Data With Professional Customer Service Reports

datapine

By increasing the service levels, customer satisfaction, and loyalty, among many other metrics, organizations can ultimately generate business value and increase profits. We have written a bit more on the average response time as one of our metrics examples below in our article, but the main point is to keep it as short as possible.

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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59
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Marie Kondo Has Some Advice for Your Dashboard

Juice Analytics

In our workshops on data storytelling, dashboard design, and data visualization, we are always emphasing the need to simplify. Kondo is the reigning guru of tidying-up and host of the Netflix show Tidying Up with Marie Kondo. And certainly no more adding of metrics. Less is more. Who else believes in “less is more?”

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How Amazon GTTS runs large-scale ETL jobs on AWS using Amazon MWAA

AWS Big Data

Monitoring and alerting The continuous observation and analysis of system components and performance metrics to detect and address issues, optimize resource usage, and provide overall health and reliability. Web UI Amazon MWAA comes with a managed web server that hosts the Airflow UI.

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Amazon OpenSearch Service’s vector database capabilities explained

AWS Big Data

For more information, refer to Building a semantic search engine in OpenSearch to learn how semantic search can deliver a 15% relevance improvement, as measured by normalized discounted cumulative gain (nDCG) metrics compared with keyword search. These search methods employ ANN to improve search latency for large datasets.

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