In one of Australia's most operationally complex industries, Team Global Express (TGE) turned data into a strategic asset, and AI into a competitive edge. In 2025, TGE invested in data modernisation, establishing an AWS native data platform which now serves as the operational heartbeat of its logistics network. On this foundation, TGE is delivering compounding business value through rapid deployment of AI solutions across multiple domains. Join this session to learn how TGE secured board-level backing, built a lean AI team, and is scaling pragmatic, cost-effective AI — including the lessons learned along the way and whats next on their roadmap.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
AWS-native data platform as the operational heartbeat of TGE's logistics network. Lean AI team. Pragmatic, cost-effective AI across multiple domains. Board-level backing earned through demonstrated wins.
Why it matters
Logistics is data-rich and operationally complex. Data foundation work pays back fast in this sector.
The hard parts
Board-level backing requires demonstrated wins. Lean teams have to prove value before they can scale headcount.
Playbook moves
(1) Pick one quick-win use case for the first six months. (2) Use it to fund the rest. (3) Stay lean longer than feels comfortable — the bloated central AI team is the failure mode.
The surprise
TGE built a "lean AI team" — not a centralised big team. The org pattern that works at logistics-scale companies is *small federated teams*, not centralised AI hubs. The hub-and-spoke model that worked for data engineering doesn't translate well to AI.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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