Using Production Data in AI Development
Organizations are being asked to allow production data in development environments, specifically to advance the training of AI models. Before doing so, organizations should tackle the reason for removing production data from development environments in the first place: looser governance and security controls.
This report explains how to enable AI development teams to safely use production data and warns against the temptation to allow production data in all development environments.
Inside, you’ll learn:
- How to strike the best balance between the need for large amounts of production data for AI development and the risks of keeping that data in a development environment
- Considerations orgs should make when determining whether to use production data in development environments
- How to establish clear use cases for implementation
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