DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Below we will explain how to virtually eliminate data errors using DataOps automation and the simple building blocks of data and analytics testing and monitoring. . Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Smarten

JUNE 17, 2022

After completion of the testing procedure, the certificate is provided to show that all requirements were met. CERT-IN also issues advisories, guidelines and white papers for security practices.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. Tracking key metrics and statistical distributions over time and alerting humans when either of these significantly drift can ensure that systems remain performant and fair. We need to get to the root of the problem.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

Decision Management Solutions

JUNE 24, 2021

Leaning on this definition, we can define a Chain of Responsibility as a process for maintaining and documenting decision-making, showing who defined, modeled, trained, tested, and validated the decision-making approach that resulted in a specific decision. There are established protocols and procedures for this process.

Machine Learning 52

Machine Learning Testing Data-driven Modeling 52

Smart Data Collective

SEPTEMBER 15, 2019

Hussain of Atos Spain published a white paper on the growing relevance of big data in the finance and insurance verticals. It also features a search function conveniently located at the top of the screen that allows you to access stock pages, as well as produce charts and important market statistics.

Big Data 86

Big Data Machine Learning Risk Insurance 86

Ontotext

MAY 26, 2021

But, before we can have any larger scale implementation of these rules, we have to test their validity. Beyond training, each and every AI system, be it based on symbolic rules or statistical models, has to be evaluated, in the same way children take exams to graduate. White Paper: Text Analysis for Content Management.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

datapine

SEPTEMBER 4, 2023

Your Chance: Want to test a powerful data visualization software? Your Chance: Want to test a powerful data visualization software? The pioneering visual is regarded by many as the “greatest statistical graphic ever drawn,” and while such a statement is subjective, it’s nothing short of inspirational.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264