Context before models
AI needs shared definitions, lineage, business meaning and trusted reference points. More data does not solve weak context.
Australian data and AI executive
Trusted AI starts with trusted context.
Brad Starr helps boards, technology leaders and delivery teams turn governed data into AI systems people trust.
20+ years across JAPAC
VP-level leadership
CDAO keynote speaker
Enterprise AI
Context
Shared meaning across data, systems and agents
Governance
Quality
Architecture
Accountability
Trusted AIClear guardrails, ownership and evidence
Data governanceAccountability built into daily work
AI architecturePlatforms designed to move beyond pilots
About Brad
Business value, governance and architecture in one conversation.
Brad works at the intersection of business strategy, data management and enterprise AI. His focus is practical. Define ownership. Establish shared context. Enforce quality. Build operating controls. Measure value.
Across more than two decades in enterprise technology, Brad has led technical and solution engineering teams across JAPAC. He has advised organisations on data governance, metadata, master data, AI readiness and the architecture required to scale intelligent systems.
His keynote work connects trust in data and AI with real outcomes in healthcare, emergency response, customer experience and enterprise decision-making.
View Brad’s professional profilePoint of view
Five principles for enterprise AI people trust.
AI programs succeed when governance, context and delivery discipline work together.
Governance by design
Controls belong in workflows, platforms and decision rights. Policy documents alone do not change behaviour.
Evidence over assurance
Boards need traceable proof of ownership, quality, access, model use and control performance.
Architecture must survive scale
Pilots hide operating complexity. Enterprise architecture must account for security, cost, integration and change.
Human accountability stays explicit
Automation changes work. It does not remove responsibility for outcomes, exceptions or customer impact.
The trusted enterprise stack
A practical architecture for governed AI.
05
Business outcomesGrowth, productivity, risk reduction and service quality
04
AI products and agentsUse cases with named owners, measures and controls
03
Enterprise contextSemantics, metadata, lineage, knowledge and policy
02
Governed data productsQuality, access, master data and reference data
01
Secure data foundationIntegration, platforms, observability and lifecycle management
Speaking and executive sessions
Clear ideas for boards, data leaders and technology teams.
When Data Speaks: Why Trust Matters More Than Ever
A personal and practical keynote on how data and AI shape brands, businesses and lives. The session links trusted foundations with real outcomes in healthcare, emergency response and enterprise decision-making.
- Board and executive audiences
- Data, AI and technology conferences
- Customer and partner events
Trusted Context: Context Is the New Currency
Why agents, analytics and operational systems need shared meaning, not isolated data pipelines.
Governing AI Without Slowing the Business
A practical model for decision rights, evidence, risk controls and measurable value.
From AI Pilot to Enterprise Operating Model
The architecture, governance and delivery choices required to scale AI safely.
Building an AI-Ready Data Foundation
A working session covering ownership, metadata, master data, quality and roadmap priorities.
Selected appearances
CDAO Melbourne
CDAO Sydney
CDAIO Singapore
Data Innovation Day
Selected insights
Ideas for leaders responsible for trusted enterprise AI.
Metadata
Why Metadata Is the Secret Sauce of AI
How business meaning, lineage and context improve AI decisions.
Read article ↗ Agentic AIIf We Are Not Innovating, We Are Automating Chaos
Why operating discipline matters before autonomous workflows scale.
View on LinkedIn ↗ Data governanceBeyond the AI Hype
Why data governance and management remain core to AI value.
View on LinkedIn ↗“The question is no longer whether AI will shape your organisation. The question is whether your data, controls and accountability are ready.”
Brad Starr
Speaking and advisory enquiries
Bring a practical trusted AI conversation to your next executive session or event.
Keynotes, panels, board briefings, executive workshops and industry events across Australia and JAPAC.
Contact Brad on LinkedIn