May 6, 2026
Processing close to the data helps reduce cost, latency, and exposure when a service combines video, AI, and operating obligations.
Executive Read
AWS proposes a telco architecture where part of the processing happens inside the operator datacenter to reduce cloud inference costs and preserve data sovereignty. Although the case focuses on network operations, the principle applies well to video services.
Why It Matters For An ISP
Moving everything outside the ISP environment can increase cost, external dependency, and sensitive data exposure. Local processing makes it possible to filter, summarize, anonymize, or retain evidence before synchronizing with upper layers. ROI improves because the architecture reduces unnecessary data movement.
How It Connects With Horus
Horus already separates customer site, ISP datacenter, and cloud layer. That split allows inference or preprocessing to run near the source, keeps control over retention, and uses the cloud for mobility, accounts, permissions, and multi-tenant operations.
Use Cases
- Sending relevant events instead of permanent raw video.
- Anonymizing or summarizing evidence.
- Local alerts for security or continuity.
- Retention and sensitive data control under ISP policy.
Sources
- AWS for Industries. "Architecting the Semantic MCP Server: Edge Deployment of Fine-Tuned SLMs to Solve the Data Ingestion Problem for Telco Operations". 2026-02-06. https://aws.amazon.com/blogs/industries/architecting-the-semantic-mcp-server-edge-deployment-of-fine-tuned-slms-to-solve-the-data-ingestion-problem-for-telco-operations/