This guide offers a practical roadmap to transforming data from edge devices into real-time AI use cases, along with best practices, implementation tips, tactical insights on common architectures, tooling options, and tradeoffs.
- Identify AI edge use cases
- Integrate data in motion architecture
- Apply data governance to the entire data lifecycle
