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Explore how open standards for data contracts and data products can revolutionize AI development in this 39-minute conference talk from the Linux Foundation. Discover the critical role of data quality, lineage, and consistent interfaces as the foundation for successful generative AI projects, and learn how data contracts address common bottlenecks in production machine learning and open collaboration. Examine the Open Data Contract Standard (ODCS) and Open Data Product Standard (ODPS) as frameworks for treating data as a product rather than a problem in AI workflows. Gain practical insights through live examples and GitHub-ready YAML implementations for preventing silent failures in data and AI pipelines, establishing trust and lineage across open datasets, and aligning data collaboration with reproducibility and compliance requirements without creating bureaucratic overhead. Master tools and techniques for injecting governance directly into data and generative AI workflows while maintaining development velocity, whether you're fine-tuning models or building analytical reports.
