DataKitchen
FEBRUARY 23, 2024
Webinar: Beyond Data Observability: Personalization DataKitchen DataOps Observability Problem Statement White Paper: ‘Taming Chaos’ Technical Product Overview Four-minute online demo Detailed Product: Documentation Webinar: Data Observability Demo Day DataKitchen DataOps TestGen Problem Statement White Paper: ‘Mystery Box Full Of Data Errors’ (..)
CIO Business Intelligence
JANUARY 18, 2024
Pilot initiatives have been initiated, and new approaches are being tested and evaluated. However, at this phase, groups aren’t fully harnessing these metrics to guide holistic process improvements. To learn more, access the full white paper, “Value Stream Management Maturity Model: Navigating Progress and Achieving Excellence.”
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Smarten
NOVEMBER 28, 2023
Managers should support these tools and require that team members ‘show their work’ with reports and graphs and charts gleaned from the augmented analytics solution to support team recommendations, reveal metrics for existing processes, and show results for new approaches, insight into problems and possible business opportunities.
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. .
DataRobot
OCTOBER 20, 2021
Evaluation metrics for machine learning models: Understanding evaluation metrics, what they optimize for, and how they intersect with AI fairness principles gives stakeholders the language necessary to qualify risks associated with AI systems. WHITE PAPER. rule-based AI , machine learning , deep learning , etc.)
Cloudera
DECEMBER 3, 2021
In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. There are a number of metrics that can be used to measure the performance of a system; they include accuracy, precision and F-score to name only three. We need to get to the root of the problem. Model Drift.
datapine
OCTOBER 21, 2020
A white paper by Intel details how four hospitals that are part of the Assistance Publique-Hôpitaux de Paris have been using data from a variety of sources to come up with daily and hourly predictions of how many patients are expected to be at each hospital. 2) Electronic Health Records (EHRs). 3) Real-Time Alerting.
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