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Differences Between Shipping Classic Software and Operating ML Models with a Lead MLOps Engineer at TMNL Simon Stiebellehner, and neptune.ai CEO Piotr Niedzwiedz

ML Platform Podcast

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Data Quality Tests - Data Monitoring

In the last two, three years, data observability is a big topic. Data quality tests are what you build a data pipeline or you build a model pipeline,. whatever. And then right, you might fail your pipeline. You might not fail it. So if we can define those terms for us first? Absolutely. I think there are even the three terms, data quality tests, data monitoring.

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