In this episode of The Data Engineering Show, host Benjamin and co-host Eldad are joined by Chad Sanderson, CEO and co-founder of Gable AI to discuss the revolution of data quality and governance, the importance of understanding data flow and the processes that help organizations manage their data more effectively.
In this episode of The Data Engineering Show, host Benjamin and co-host Eldad sit with Chad Sanderson, CEO and co-founder of Gable AI to explore the interesting world of data change management.
Join them as they:
- 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.
Chad Sanderson is the CEO and co-founder of Gable AI, a data change management platform. Chad has over a decade of experience in data engineering and infrastructure space, holding significant roles at major companies like Microsoft, Oracle, Sephora where he focused on data quality and governance challenges. He is a former Head of Data at Convoy, a LinkedIn writer, and a published author. He lives in Seattle, Washington, and is the Chief Operator of the Data Quality Camp. His journey from data scientist to data engineer and ultimately to CEO was driven by a desire to transform how organizations manage and utilize data. Gable AI addresses the complexities of the data supply chain, by providing tools for code scanning, data contracts and governance as code, enabling teams to proactively manage data changes and impact.
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