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2021-04-16

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What’s New

Select Production as a model baselineWe now support setting historical production data as a model baseline. This enables you to compare current production performance against a prior time period in production.
Use cases include:
  • Detecting slow bleeds in model drift over time
  • Analyzing model performance seasonality
  • Understanding if an upstream change to a model’s inputs is impacting production performance
New Dashboards tab on Model OverviewA new Dashboards tab is now available on the Model Overview page (or as we like to think of it: your model overview launchpad 🚀). This addition makes it simpler to locate any dashboards associated with a model and create new dashboards as you’re checking in on a model.
Additional dimensions available for model health gridDrift score for features, predictions, and actuals are now available for model health on the Model Overview page, allowing for a more comprehensive at-a-glance view of model drift across all dimensions.

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Enhancements

  • Quicker bulk set up of drift monitors across all features/predictions/actuals
  • Added support for:
    • False negative density on feature performance heatmaps
    • Dimension Stats quantiles
    • Quantiles support for drift
  • Improvements to histogram binning for drift monitors

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In the News

Why Business Executives Should be Hip to ML ToolsIt’s imperative for business leaders to understand how the technology their organization builds and employs powers their organization. We published a simple primer on the fundamentals of the machine learning stack that every exec should know. Read the post.
Coded Bias: An Insightful Look at AI, Algorithms and Their Risks to SocietyCoded Bias is a new documentary on Netflix examining Joy Buolamwini’s research on the algorithmic biases that exist within our current AI systems. It’s a great piece highlighting the often unintended and unseen implications of AI technology on society. Learn more.Google Maps and Climate Change: Using AI to Help a Changing PlanetArize Co-founder and CEO, Jason Lopatecki, shares his thoughts on the importance of using AI and machine learning to incentivize consumers to make better decisions for the environment. Read the blog.