02
AI and edge data movement
Engineer high-capacity paths between data sources, training or inference compute, storage, edge locations and cloud platforms.
Key considerations
Dataset location; transfer windows; throughput; latency; sovereignty; facility power and network adjacency.
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Enterprise connectivity
Modernize branch, campus, office and operational networks with resilient internet, private network and secure access options.
Key considerations
Site classes; critical applications; access diversity; SD-WAN/SASE; local support; migration sequencing.
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Market entry and corridor planning
Translate a multi-market growth plan into gateway markets, facilities, services, licensing dependencies and executable routes.
Key considerations
Target markets; landing points; cross-border routes; local access; regulatory context; delivery teams.
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