| | Data Management for AI and Machine Learning: Putting Dataware to Work | | | | | | Hi David, When it comes to building a successful AI or machine learning system, data is as important as algorithm or model code. And it isn’t just volume of data or data quality that matters - although both are very important. You also need efficient ways to manage data at scale, particularly for the special needs of machine learning, such as data versioning for training models, a reliable event-by-event history, and a way to archive exactly the data seen by a model in production. Please join me on Wednesday February 13th to talk about these key aspects of the logistics of AI and machine learning systems and how you can make data management much easier and more reliable.
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