Data quality is key to great AI products and services

from The Data Exchange with Ben Lorica · host Ben Lorica

In this episode of the Data Exchange, I speak with Abe Gong, CEO and co-founder at Superconductive, a startup founded by the team behind the Great Expectations (GE) open source project. GE is one of a growing number of tools aimed at improving data quality through tools for validation and testing. Other projects in this area include TensorFlow DV, assertr, dataframe-rules-engine, deequ, data-describe, and Apache Griffin.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

What this episode covers

In this episode of the Data Exchange, I speak with Abe Gong, CEO and co-founder at Superconductive, a startup founded by the team behind the Great Expectations (GE) open source project. GE is one of a growing number of tools aimed at improving data quality through tools for validation and testing. Other projects in this area include TensorFlow DV, assertr, dataframe-rules-engine, deequ, data-describe, and Apache Griffin. Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS. ...

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Data quality is key to great AI products and services

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This episode is 41 minutes long.

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This episode was published on April 8, 2021.

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