Operationalizing ML is messy
VIANOPS makes it sparkle
Operationalizing ML models requires that data scientists get alerts on the right issues at the right time to find and resolve issues – faster. Have easy access to and visibility into data to perform Root Cause Analysis, segment data granularly, and find anomalies – even in massive amounts of data. And use recommendations or auto-triggers to retrain, and validate model performance to deploy with confidence.
Tutorial video
VIANOPS ML Process Flow
VIANOPS is the purpose-built platform that uniquely supports scalability across a large number of models, features, segments & data volumes in a cost-efficient way
VIANOPS ML Process Flow PDF
Click here to view our ML process flow as a PDF
Model monitoring
Unmatched multi-dimensional views of your data in the context of your business for the most comprehensive insight to model performance.
-
- View Feature Drift and Prediction Drift using Windowed and Distanced methods
- Customize how you view drift – day to training data, weekday to last 10 weekdays, week-to-date to last 2 weeks.
- View Model Performance over multiple time periods based on segments, overall population
- Proactively detect model bias across sensitive attributes
- Create custom bins to analyze performance in meaningful ways to your business
- Define threshold based alerts and warnings to minimize alert fatigue
Model monitoring
Unmatched multi-dimensional views of your data in the context of your business for the most comprehensive insight to model performance.
-
- View Feature Drift and Prediction Drift using Windowed and Distanced methods
- Customize how you view drift – day to training data, weekday to last 10 weekdays, week-to-date to last 2 weeks.
- View Model Performance over multiple time periods based on segments, overall population
- Proactively detect model bias across sensitive attributes
- Create custom bins to analyze performance in meaningful ways to your business
- Define threshold based alerts and warnings to minimize alert fatigue
Root-cause analysis
Deep dive to uncover root cause and perform what-if analysis, across billions of data points at lightning speed.
-
- Slice data into segments to uncover patterns, hotspots across individual sections of population
- Perform data profiling and segment analysis
- Drill down into drift patterns and hotspots in overall population and segments with highly flexible baseline and target time frames – Day-to-day, week-to-date, month-to-month, quarter-to-quarter
- Explore any past target vs baseline comparisons
- Correlate feature drift to prediction drift or to performance degradation
- Perform ad-hoc drift analysis with Run-Now Policies
Mitigation
Leverage deep insights to know what steps to take to address model performance and drift.
-
- Get recommendations to mitigate root cause
- Understand retraining needs – entire dataset vs one or more segments
- Trigger and integrate with your existing retraining workflows
Mitigation
Leverage deep insights to know what steps to take to address model performance and drift.
-
- Get recommendations to mitigate root cause
- Understand retraining needs – entire dataset vs one or more segments
- Trigger and integrate with your existing retraining workflows
Validation
Gain confidence that your model will perform as expected
-
- Test model performance with Champion/Challenger and Canary/Shadow testing
- Perform uncertainty analysis to validate model performance *coming in 2023
Operationalizing Trusted, Transparent, ML Models At Scale – While Minimizing Costs
Easy integration via APIs
VIANOPS allows for seamless integration to your infrastructure. We create a frictionless experience to boost efficiency.
Data Sources
File Systems, Streaming Data, Feature Store…
Workflows
Airflow. Jenkins..
MLOps platforms
AWS Sagemaker, Databricks…
Collaboration tools
Email, Slack…