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Relevant, clean, accurate, well-structured – to build, train, and deploy AI models that perform effectively, you need AI-ready data. Simple in theory, but far more difficult to achieve in the real world
AI applications typically require large volumes of data from different sources and in different formats. This makes collecting, storing, processing, and integrating data more challenging. What's more, ensuring that the data used in AI systems is managed effectively and responsibly is absolutely essential, but oftentimes complex. As a result, improving data quality and data governance have emerged as critical priorities for many enterprises on the path to greater AI adoption.
New advancements in data management in areas such as active metadata, data catalogs, and data observability are helping to close the gap. To dive into the key technologies and emerging best practices in achieving AI-ready data, DBTA is hosting a special roundtable webinar on November 7th.
Reserve your seat today!
Register Now to attend the webinar Achieving AI-Ready Data: Active Metadata, Data Catalogs, and Data Observability. Don't miss this live event on Thursday, November 7th, 11 AM PT / 2 PM ET.
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