Understanding Data Drift and Stability to Build More Resilient Models

Understanding Data Drift and Stability to Build More Resilient Models

Released Tuesday, 22nd February 2022
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Understanding Data Drift and Stability to Build More Resilient Models

Understanding Data Drift and Stability to Build More Resilient Models

Understanding Data Drift and Stability to Build More Resilient Models

Understanding Data Drift and Stability to Build More Resilient Models

Tuesday, 22nd February 2022
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Predictive models help predict future behaviors, and they are powerful tools for supporting business decisions and improving operations.

But predictive models are only as accurate and reliable as the data that powers them.

In this episode of the Data Point of View podcast, our host Laurie Hood welcomes Anindya Datta, the CEO and Founder of Mobilewalla. They get into the problems of performance degradation in production, how to tackle data accuracy challenges, and the role of data stability in building resilient models.

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