S2 E2: Lina Weichbrodt, DKB: AI diagnostics, usability and post mortems

S2 E2: Lina Weichbrodt of Deutsche Kreditbank discusses AI diagnostics, usability and post mortems. Lina Weichbrodt is the Machine Learning Lead Engineer at Deutsche Kreditbank, formerly at Zalando. She has pioneered Machine Learning -focused quality management, debugging and post mortem practices throughout her career and shares her insights regarding ML quality & problem discovery. Machine Learning quality monitoring can be notoriously difficult, due to an absence of the “it either works or doesn’t” -logic common in traditional software applications. Tune in to catch Lina’s recommendations on which PeopleOps principles have a strong indirect affect on algorithmic quality, how ML quality ownership should be allocated, and tips for the best toolkits & recommendations for product owners on how ML quality should be approached.

You can listen to S2 E2: Lina Weichbrodt, DKB: AI diagnostics, usability and post mortems online on Radio and Podcast. Open the player on this page to stream the available audio.

S2 E2: Lina Weichbrodt, DKB: AI diagnostics, usability and post mortems is an episode from Inference: AI business podcast by Silo AI by Silo AI.

This episode is 00:19:37 long.

This episode was published on May 9, 2022.

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