17. Synthetic data engineering in insurance and banking episode artwork

EPISODE · Sep 29, 2021 · 46 MIN

17. Synthetic data engineering in insurance and banking

from AI & Data Democratization Podcast · host MOSTLY AI

In the latest episode of the Data Democratization Podcast, Jim Hu, MOSTLY AI's Data Engineer, talks about the most exciting synthetic data engineering he has been busy doing. Synthetic data is quickly becoming a must-have engineering tool across industries, with new use cases emerging every day. If you want to learn how to leverage synthetic data in insurance and banking, listen to the episode! Learn to maximize synthetic data's business impact:how to increase profit margins in insurance using synthetic datahow to maximize the lifetime revenue of a loanhow to detect suspicious transactions and prevent fraudhow to estimate credit risk using machine learninghow to unlock transaction data for AI trainingwhy synthetic data is superior to legacy data anonymization techniquesoptimize software testing processescreate personalized banking experiences

Episode metadata supplied by the publisher feed · Published Sep 29, 2021

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In the latest episode of the Data Democratization Podcast, Jim Hu, MOSTLY AI's Data Engineer, talks about the most exciting synthetic data engineering he has been busy doing. Synthetic data is quickly becoming a must-have engineering tool across industries, with new use cases emerging every day. If you want to learn how to leverage synthetic data in insurance and banking, listen to the episode! Learn to maximize synthetic data's business impact: how to increase profit margins in insurance usi...

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17. Synthetic data engineering in insurance and banking

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