DataRobot Blog

JULY 28, 2022

In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. Ultimately, the evaluation is based on whether or not the model delivers success to the customers’ business. Therefore, a value below 0.5

Data Science 72

Data Science Machine Learning Statistics Modeling 72

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Cloudera

FEBRUARY 16, 2022

Each time a project is successfully deployed, the trained model is recorded within the Models section of the Projects page. The AMPs framework also supports the promotion of models from the lab into production, a common MLOps task. This might require making batch and individual predictions.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

DataKitchen

JANUARY 17, 2022

The business analysts creating analytics use the process hub to calculate metrics, segment/filter lists, perform predictive modeling, “what if” analysis and other experimentation. Despite the complexity, mission-critical analytics must be delivered error-free under intense deadline pressure. Data is not static.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. the monitoring of very important operational ML characteristics: data drift, concept drift, and model security). And the goodness doesn’t stop there.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

AWS Big Data

NOVEMBER 14, 2023

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. The probability results are also stored in Amazon S3 to continuously retrain the model in SageMaker.

IoT 55

IoT Data-driven Data Lake Data Strategy 55