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AI and Data Change Management with Chad Sanderson, CEO Gable AI
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Manage episode 460420875 series 3418247
- Delve into challenges of data quality, how it degrades over time and the one-sided data quality checks on the “last mile” of the data supply chain.
- Talk about how Gable works through a 3-layer flow of technology which is to identify data production points, trace the data flow and communicate the impact of changes before they reach production.
- Explain why the gap between data producers and consumers need to be bridged and how Gable continues to emphasize the need for effective communication and understanding data change management across teams
- Shine light on how AI can enhance data management by extracting semantics from code and effectively manage the translation output.
- Discuss Chad’s vision for 2025 which is to help companies start to care about data and how the changes made to data affect other people.
Episode Resources
Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen.
Check out our three most downloaded episodes:
57 episodes
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on April 16, 2025 10:41 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 460420875 series 3418247
- Delve into challenges of data quality, how it degrades over time and the one-sided data quality checks on the “last mile” of the data supply chain.
- Talk about how Gable works through a 3-layer flow of technology which is to identify data production points, trace the data flow and communicate the impact of changes before they reach production.
- Explain why the gap between data producers and consumers need to be bridged and how Gable continues to emphasize the need for effective communication and understanding data change management across teams
- Shine light on how AI can enhance data management by extracting semantics from code and effectively manage the translation output.
- Discuss Chad’s vision for 2025 which is to help companies start to care about data and how the changes made to data affect other people.
Episode Resources
Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen.
Check out our three most downloaded episodes:
57 episodes
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