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Product demo: Algorithmia Insights

Join us for a demo of Algorithmia's newest release, Algorithmia Insights. Our Solutions Engineer, Kristopher Overholt, will be walking us through how the feature works and some options you have to get the most out of Insights.

Algorithmia Insights is a flexible integration solution for machine learning (ML) model performance monitoring that provides access to inference and operational metrics for models and can easily be integrated into any monitoring, reporting, and alerting tool to identify and correct model drift, data skews, and negative feedback loops.

This webinar has concluded. Fill out the form to view the recording. 

In this demo webinar, you'll learn:

Product demo: Algorithmia Insights

Join us for a demo of Algorithmia's newest release, Algorithmia Insights. Our Solutions Engineer, Kristopher Overholt, will be walking us through how the feature works and some options you have to get the most out of Insights.

Algorithmia Insights is a flexible integration solution for machine learning (ML) model performance monitoring that provides access to inference and operational metrics for models and can easily be integrated into any monitoring, reporting, and alerting tool to identify and correct model drift, data skews, and negative feedback loops.

This webinar has concluded. Fill out the form to view the recording. 

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In this demo webinar, you'll learn: 

  • The benefits and capabilities of model performance monitoring, and how it works with Insights
  • The benefits of Insights seen with real life examples
  • What you need to get started with Insights in three easy steps

Speaker

Kristopher Overholt

Solutions Engineer, Algorithmia

Kristopher Overholt is a Sales and Solution Engineer at Algorithmia who works with machine learning operations, enterprise architecture, and data science workflows. He studied civil engineering at The University of Texas at Austin, where he completed his PhD in 2013. He has been working with enterprise customers for the last 6 years to help them move their data science and machine learning code into production.