Data Readiness for AI Integration
About this Event
AI initiatives rarely fail at the model. They often fail because the data underneath isn't ready.
Before an organisation can integrate AI effectively, it needs a clear understanding of its data: what exists, where it comes from, who can access it, how reliable it is, and whether it is suitable for the workflow being considered.
Data Readiness for AI Integration is a one-day working session for operations, data, and IT leads who are responsible for building the data foundations needed for AI.
Rather than working on a broad, multi-year data clean-up, you'll focus on one nominated workflow or dataset context and build a practical foundation around it. You will work with descriptions, structures, and fictional exercise datasets — not production data.
What You'll Work On
- Trace the Decision Back to the Data: Start with a business decision and identify the datasets and information it depends on.
- Build Data Inventory and Lineage: Map what data you have, where it comes from, and how it flows through the workflow.
- Test Data Quality, Bias and Representativeness: Work through structured tests and identify how similar checks could be applied to your own data.
- Review Access, Retention and Security: Develop an access-control approach based on how information is actually used, rather than simply following the organisational chart.
- Define the Minimum Viable Data Foundation: Identify the smallest practical data foundation needed to support one AI workflow.
- Build a Two-Week Remediation Plan: Turn your findings into a focused plan with actions, ownership, and clear next steps.
What You'll Leave With
By the end of the session, you'll have practical working artefacts including:
- A data inventory and lineage diagram
- A data quality and bias test report
- An access-control matrix
- A two-week remediation sprint plan
Who Is This For?
This working session is designed for:
- Operations leads
- Data and analytics professionals
- IT leads
- Professionals responsible for organisational data foundations
- Teams preparing data for AI integration
Bring knowledge of a nominated workflow or dataset context to work on during the session. Do not bring production data.
Prerequisites
FND-101 is recommended.
This session is designed as professional development. It is not a data audit, security assessment, or assessment of your production systems.
Your Facilitator: Dr Eunice Sari
Dr Eunice Sari is a humanity-centred AI and inclusive design leader with 25+ years of experience across AI integration, digital transformation, data-informed decision-making, and organisational capability. As Co-Founder of the Western Australian AI Hub, she helps organisations build practical foundations for responsible and effective AI integration.
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Refund and Cancellation Policy
By registering, you acknowledge and agree to this policy. Your statutory rights under the Australian Consumer Law remain unaffected.
Cancellation and transfer requests are processed based on the number of calendar days before your scheduled session:
- 14+ Days: Transfer, course credit, or refund (discretionary refund and non-recoverable platform fees apply).
- 7-13 Days: Transfer or credit only (subject to availability). No cash refunds.
- Under 7 Days: No refund, credit, or transfer. Exceptional circumstances may be considered at WA AI Hub’s discretion.
- No-Show / Partial Attendance: No refund, credit, or transfer.
Substitutions
Allowed up to 24 hours before the session. Email us the new eligible attendee’s details in writing.
Organiser Cancellation or Major Change
If WA AI Hub cancels or makes major changes (time, delivery mode, or core content), we will offer a transfer, credit, or refund, in accordance with Australian Consumer Law.
Platform Fees
Third-party platform fees are generally non-refundable unless required by law or platform rules.
How to Request a Change
Email Junita at [email protected] (or call (08) 6156 4865) with the participant name, session title, booking reference, and reason for the request.
Terms & Intellectual Property
© 2026 WA AI Hub. All training and workshop content is our intellectual property and is provided for personal or internal use only. Redistribution, resale, or commercial reproduction is prohibited without written permission. Your registration confirms agreement to our full Terms of Service and Privacy Policy.
Safety & Privacy Note
Do not enter sensitive data (personal, client, health, legal, financial, or confidential organisational/community information) into AI tools during the workshop. We will provide safe practice examples.
Where is it happening?
Event Location & Nearby Stays:
AUD 923.76
