How to Drive Impact and Scale with Your Big Data/AI Applications?
summary
Claim: data attracts compute so move algorithms to data not the other way round. Concrete constraints: fiber economics make 40 km a practical radius, Germany’s cloud concentration centers in Frankfurt, DE-CIX peaks ~13 Tb/s while private interconnection traffic is an order of magnitude higher. Built examples: an airline engine data marketplace and remote crop-science workflows that ship SSDs by pigeon. Operational tools: dedicated private interconnection, software-defined provisioning (Terraform-style), and neutral sandboxes where algorithms run against shared data.
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chapters (4)
- 0:00Start
- 5:14Data has Gravity When data is stored somewhere it attracts more data the closer data is to the source, the lower the latency and the higher the throughput.
- 15:13DEPLOYING, EXTENDING & ENHANCING DIGITAL INFRASTRUCTURE WHERE NEEDED....
- 18:55Interconnection Future
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