While the potential benefits of AI speak for themselves, enterprises need a measured, strategic approach to pursue those benefits without placing their valuable intellectual property at risk. This is why many businesses are starting to build their own AI models, host those models on private infrastructure, and use only proprietary datasets to train them. This concept is known as private AI. Many enterprises now recognize that when they feed sensitive data into public AI services such as ChatGPT, that data gets trained into the model. In turn, this means the data could be exposed to anyone who uses the model…

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