ElasticSean MacKirdy4 min readintermediate
Australia's AI opportunity starts with data
Summary
Elastic argues that Australia’s AI rollout hinges on solid data foundations and observability, not bigger models, and calls for a dedicated data pillar in the national AI plan.
- In Australian orgs, AI failures are twice as often blamed on data quality than on model quality (Elastic research).
- Government agencies hold massive, fragmented, unstructured data; making it searchable and connected is essential for AI productivity.
- Visibility via comprehensive, searchable logging (the “black‑box” of AI systems) is critical for safety, incident response, and accountability.
- Effective AI governance should start with data traceability—knowing data sources, access, and model usage—rather than checklist compliance.
Without reliable, searchable data and robust logging, AI deployments in public services risk poor performance, opaque decision‑making, and security incidents, undermining trust and the promised productivity gains.
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