Synthetic Data for AI: Definition, Risks, and Strategies
ABSTRACT :
Many machine learning projects fail because data scientists don’t have the right data. Techniques such as synthetic data is a novel algorithmic approach...
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Register now for - "Data Sharing and Marketplaces: The New Frontier in Data" - Thursday, December 15, 11 a.m. Eastern Time.
ABSTRACT :
Many machine learning projects fail because data scientists don’t have the right data. Techniques such as synthetic data is a novel algorithmic approach...
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ABSTRACT :
Data Mesh gets a lot of discussion. Some see it as revolutionary—the first new data architecture thinking in years. Others view it as a dangerous...
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ABSTRACT :
Declarative ML has the potential to reduce the time, effort, and skills required to bring ML into production in a wide range of enterprise environments.
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ABSTRACT :
Data fabric, another step in evolving data architecture, uses metadata, machine learning, and automation to provide a unified view of enterprise data...
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ABSTRACT :
As business demands for analytics rise—along with cloud costs—enterprises need to rationalize how they access and process distributed data.
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