Monitoring Models at Scale with Domino

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Presented by

Samit Thange, Senior Product Manager, Domino Data Lab

About this talk

As more models go to production, managing and monitoring them becomes more onerous. Without proactive monitoring of production models, organizations are exposed to the risk of poor predictions on evolving data affecting their business outcomes. Domino enables you to standardize model monitoring across all your data science teams. Key stakeholders get continuous visibility, and teams can initiate proactive actions before your business is negatively impacted due to model decay. It frees your data scientists to work on building newer models, and facilitates your IT/Ops teams to take charge of monitoring in-production models. Join this webinar to learn how Domino can help you monitor your models with: -Drift Checks: Detecting changes in pattern of real-world data your models are seeing in production. -Quality Checks: Tracking how model accuracy and other quality metrics are changing over time. -Health Alerts: Getting alerted when health checks fail so that resolution workflows can be triggered.

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Today, the best-run companies run their business on models, and those that don’t face existential threat. Welcome to "The Model Driven Business" - a channel where we will share use cases and best practices for organizations striving to make data science an organizational capability that drives business impact.