From the course: Cloud Computing: BC/DR Best Practices
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BC/DR for AI system data
From the course: Cloud Computing: BC/DR Best Practices
BC/DR for AI system data
- [Instructor] Business continuity and disaster recovery for AI system data on cloud platforms is ultimately about keeping your AI services running, no matter what disruption happens behind the scenes. Imagine your AI system is a powerful machine driven entirely by its underlying data. The data consists of huge sets of images, documents, sensor information, or other critical content. If those data sets were ever lost, your entire AI operation could come to a standstill. That's why protecting and quickly restoring that data is so essential. Your AI models are only as valuable as the data and code that supports them. AI workloads are unique compared to regular applications. They often rely on extremely large and complex data collections. Both data and models are being updated frequently as you retain, improve, or fine tune your AI. It's not just about protecting the raw data. You must also safeguard trained models, development code, and everything else needed for the system to function.…
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