Closing Remarks
summary
Quick recap of concrete takeaways: current work focuses on solving scale, diversity, quality for data used in generative AI, and on building pipelines that enforce responsible use of data at production scale. There is real progress in using generative models to automate data-cleaning and metadata generation, and several teams report deployed systems rather than prototypes. Follow the Data @Scale website, YouTube and Facebook pages for slides, recordings and announcements of upcoming conferences.
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