Key Actions to Prevent ML Failure Due to COVID-19-Related Data Drift

Key Actions to Prevent Machine Learning Failure Due to COVID-19-Related Data Drift

Quite a few organizations are experiencing significant decay of their machine learning models due to ongoing shifts in business and consumer behavior during the COVID-19 pandemic.

Data and analytics leaders must understand their options to remedy this and better prepare for the future.

Read this report to discover impactful recommendations to prevent Machine Learning failure in your organization.

At Tangent Works, we are pleased to have collaborated on this report.

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About Tangent Works

Tangent Works was founded in 2014 by a team of data scientists and mathematicians who believed in the power of predictive modeling for optimizing operations and reducing costs, but found that the existing methods were far too complex for broad adoption. That why they developed the Tangent Information Modeler TIM.

TIM’s mission is to de-mystify predictive modeling and anomaly detection and make them accessible and productive for a broad range of users and use cases.

Key Actions to Prevent Machine Learning Failure Due to COVID-19-Related Data Drift

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