Remove product governance
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Accurate, Safe and Governed: How to Move GenAI from POC to Production

databricks

To move GenAI projects from experimentation to production, companies must ensure that they are deployed in a way that is accurate, safe, and governed.

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Making Email Better With AI At Shortwave

Data Engineering Podcast

When Andrew Lee started work on Shortwave he was focused on making email more productive. In this episode he shares the technical challenges that he and his team have overcome in integrating AI into their product, as well as the benefits and features that it provides to their customers. Don't forget to check out our other shows.

Data Lake 182
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Build Your Second Brain One Piece At A Time

Data Engineering Podcast

Summary Generative AI promises to accelerate the productivity of human collaborators. The Machine Learning Podcast helps you go from idea to production with machine learning. Support Data Engineering Podcast Summary Generative AI promises to accelerate the productivity of human collaborators.

Building 130
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Troubleshooting Kafka In Production

Data Engineering Podcast

Elad Eldor has experienced these challenges first-hand, leading to his work writing the book "Kafka: : Troubleshooting in Production" In this episode he highlights the sources of complexity that contribute to Kafka's operational difficulties, and some of the main ways to identify and mitigate potential sources of trouble.

Kafka 245
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Ship Smarter Not Harder With Declarative And Collaborative Data Orchestration On Dagster+

Data Engineering Podcast

How is it different from the current Dagster Cloud product? The Machine Learning Podcast helps you go from idea to production with machine learning. With enterprise-grade hosting on Dagster Cloud, you gain even more capabilities, adding cost management, security, and CI support to further boost your teams' productivity.

Data Lake 162
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How DataOS Nails Gartner’s Magic Quadrant for Data Integration

The Modern Data Company

While traditional approaches involve piecing together disparate data products, DataOS® offers a composable framework that seamlessly integrates with existing technology stacks. Data products contain data and its metadata, code, and infrastructure so that each product is self-contained and usable independently.

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Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

The Machine Learning Podcast helps you go from idea to production with machine learning. With enterprise-grade hosting on Dagster Cloud, you gain even more capabilities, adding cost management, security, and CI support to further boost your teams' productivity. Don't forget to check out our other shows.

Data Lake 262