To capitalize on the power of AI without placing your sensitive data at risk, you need a private AI strategy. This means building or fine-tuning your own AI models, hosting them inside a protected environment and training them on your proprietary data sets. Unlike public AI services such as ChatGPT, private AI models won’t place your sensitive data at risk of exposure.
With the right data architecture, you can get the right data to the right places to fuel your AI models, without sacrificing control over that data. This data architecture should be built around an authoritative data core. This…
The post To Succeed With Private AI, Start by Building the Right Data Architecture appeared first on Interconnections - The Equinix Blog.
- Data Architecture
- Enterprise AI
- Global Business
- Hybrid Multicloud
- Private AI