Domino Model Monitor

Domino Model Monitor

The One Place to Monitor the Health of All Data Science Models

Domino Model Monitor (DMM) creates a “single pane of glass” to monitor the performance of all models across your entire organization. You can identify data drift, missing information, and other issues, and take corrective action before bigger problems occur. DMM presents information in an easy-to-understand dashboard that allows all personnel to deeply understand model performance without manual work and reconstruction.

Detect Problems Before They Cause Serious Business Impact

Detect Drift in Input Features and Output Predictions Using Advanced Statistical Checks

Detect Drift in Input Features and Output Predictions Using Advanced Statistical Checks

Register Groundtruth to Detect Performance Drift

Register Groundtruth to Detect Performance Drift

Quickly Assess Whether a Model Needs to be Retrained or Rebuilt

Quickly Assess Whether a Model Needs to be Retrained or Rebuilt

Detect Drift in Input Features and Output Predictions Using Advanced Statistical Checks
Register Groundtruth to Detect Performance Drift
Quickly Assess Whether a Model Needs to be Retrained or Rebuilt

Automate Model Monitoring for All Types of Models

Schedule Checks to Ensure Business-Critical Models are in Good Shape

Schedule Checks to Ensure Business-Critical Models are in Good Shape

Send Proactive Alerts So Data Scientists Can Focus on Value-Added Activities

Send Proactive Alerts So Data Scientists Can Focus on Value-Added Activities

Facilitate IT/Ops Teams to Take Charge of Monitoring In-Production Models

Facilitate IT/Ops Teams to Take Charge of Monitoring In-Production Models

Schedule Checks to Ensure Business-Critical Models are in Good Shape
Send Proactive Alerts So Data Scientists Can Focus on Value-Added Activities
Facilitate IT/Ops Teams to Take Charge of Monitoring In-Production Models

Establish a Consistent Approach for Model Monitoring

Monitor Models Built in Any Language, Framework, or Deployment Infrastructure

Monitor Models Built in Any Language, Framework, or Deployment Infrastructure

Breakdown Departmental Silos and Eliminate Inconsistent or Infrequent Monitoring Practices

Breakdown Departmental Silos and Eliminate Inconsistent or Infrequent Monitoring Practices

Establish a Standard for Model Health Metrics Across Your Organization

Establish a Standard for Model Health Metrics Across Your Organization

Monitor Models Built in Any Language, Framework, or Deployment Infrastructure
Breakdown Departmental Silos and Eliminate Inconsistent or Infrequent Monitoring Practices
Establish a Standard for Model Health Metrics Across Your Organization
Topdanmark

We run models in production where data drift critically impacts the predictions of those models. We need to know what has drifted and by how much. In a data driven organization, the chances of knowing every change to the data, by the business or others in the organization, are practically zero. Having an automated tool to monitor this drift against the training data is very important. Domino Model Monitor will save us significant time previously spent on maintenance and investigation.

Søren Pedersen

Søren Pedersen

Data Scientist

Topdanmark

Related Data Science Resources

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WEBINAR

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USE CASE

Model Risk Management

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WHITE PAPER

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Make Your Business Model-Driven

Have a question? Feel free to contact us.

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