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Enterprise AI Melbourne
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08:15
Register; grab a coffee. Mix, mingle and say hello to peers old and new.
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09:00
Welcome by Corinium & Chair Opening Remarks
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09:10
Speed Networking – Making new connections!
In this 5-minute networking session, the goal is to connect with three new people. Enjoy the opportunity to expand your network!
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09:15
Blending AI and Human Intuition to Drive Better Decisions
Nicola Pastorello - Global Lead - AI and Advanced Analytics - BlueScope
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- Beyond copilots: where enterprise AI delivers real value
- Humans as orchestrators, not just users
- The safeguards required for operational AI
- From AI experimentation to business transformation
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09:40
Rewiring the Organisation for Agentic AI: Strategy, Structure, and Speed
Senior Representative - - InfoTrack
This session will share how InfoTrack deliberately disrupted its own operating model to become an MCP- and AI-enabled organisation. You’ll hear the practical decisions behind the shift: how leadership chose what to double down on, reorganised engineering into mission-led teams in weeks, and built a repeatable “innovation engine” to scale governed services without compromising security or compliance.
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10:05
Panel Discussion
AI Transformation: Redesigning the Organisation for an Intelligent FuturePanel Discussion
AI Transformation: Redesigning the Organisation for an Intelligent Future- How is AI reshaping organisational structures, roles, and decision-making processes?
- What capabilities and cultural shifts are required to embed AI across business functions?
- How can leaders drive adoption and ensure AI initiatives deliver measurable business impact?
Speakers
Dr Greg Adamson Chief Information Security Officer Department of Transport and Planning (Victoria)
Amanda Princi Head of Data & AI Enablement Transurban
Bhavika Unnadkat Head of Data and AI Enablement Energy & Utilities Sector & Programme Director Women4STEM (MentorShe)
Tim Sparks Head of Data Science and AI QBE Insurance -
10:40
Morning Coffee and Connect
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11:15
From AI Strategy to Enterprise Scale: Frameworks and Operating Models for Accelerating AI Value Realisation
Michelle Tucker - Head of Digital & CRM - AstraZeneca
- How do you prioritise AI investments?
- Which AI operating model delivers best results?
- What enables AI to scale across the enterprise?
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11:40
Transforming the Workforce with Human-Centred AI
Senior Representative - - IM Systems
- What practical AI literacy skills are essential for employees to drive business value?
- How do leaders foster a culture of psychological safety where staff collaborate with AI?
- What change management and reskilling strategies work best for rapid AI adoption cycles?
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12:05
Debate
Work Redefined - Will AI Replace Us or Make Us Stronger?As AI adoption accelerates, the question isn’t whether businesses should embrace it—but what role humans will play alongside it. Will AI ultimately replace human decision-making and jobs, or does its greatest potential lie in augmenting creativity, judgment, and trust? In this debate, AI leaders will challenge each other on the realities of automation, the limits of augmentation, and the responsibility of organisations to balance efficiency with human value. Expect sharp perspectives, bold predictions, and a candid look at what the future of work means for business.
Affirmative: Al will replace us
Negative: AI will not replace us
Speakers
Michelle Tucker Head of Digital & CRM AstraZeneca
Bhavika Unnadkat Head of Data and AI Enablement Energy & Utilities Sector & Programme Director Women4STEM (MentorShe)
Poornima L Nathan Chapter Lead – Technical Solution Design 7-Eleven
Amanda Princi Head of Data & AI Enablement Transurban -
12:40
Cut AI Token & Compute Cost in Half
Andrew Gu - Senior Solutions Architect, ANZ - Strategy
As enterprise AI scales, runaway token expenses and compute costs threaten bottom lines, while fragmented data and inconsistent KPIs undermine trust in business decisions. Uncurated data sources slow time-to-insight and create governance risks that stall execution.
Join Strategy and Kmart for a fireside chat on solving these enterprise bottlenecks. Strategy will demonstrate how a Universal Semantic Layer operationalises trusted AI while cutting token and compute costs in half. Kmart will share their frontline story of eliminating fragmented data, solving governance hurdles, and unifying KPIs into a single source of truth while empowering business users with fast, trusted data.
Speakers
Andrew Gu Senior Solutions Architect, ANZ Strategy
Adam Aston Data Manager Kmart Australia -
13:05
Lunch
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14:05
Beyond Accuracy: How Enterprises Build Confidence in AI Agents
Simon Wilson - Former Head of Gen AI Data Science - Telstra
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14:30
Governing Responsible AI Without Slowing Innovation
- How can organisations implement governance frameworks that manage AI risk without restricting innovation?
- Who should ultimately own AI accountability across technology, risk, legal, and business teams?
- What practical tools and processes help monitor models, manage bias, and ensure compliance as AI scales?
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14:55
Where Does Your AI Data Actually Go? Sovereignty, Regulation, and the Real Enterprise Risk
Arvind Bhatt - Founder - Skillo
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15:20
Designing Context-Aware AI Architectures for Scale
Samrat Seal - Head of Transformation and Governance - Kmart
- How do organisations prevent AI chaos and ensure domain discipline across multiple systems?
- What role does a context or knowledge layer play in making AI outputs reliable and trustworthy?
- How can composable and agentic architectures accelerate AI impact while maintaining accountability?
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15:45
Afternoon Coffee and Connect
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16:15
Economics of AI: Cost Discipline — From Scalability to ROI
Asel Mendis - Data & Analytics Lead - Network and Retail Analytics - Kmart
- How Does Inference Cost Impact the Real ROI of AI at Scale and What Should Companies Measure?
- The AI Triage – How can companies view Cost, Performance, and Intelligence to deliver an AI strategy?
- How do you balance AI governance and usage to prevent runaway costs?
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16:40
Realising the Value of AI Investments to Drive Measurable Business Impact
Poornima L Nathan - Chapter Lead – Technical Solution Design - 7-Eleven
- How can leaders prioritise AI projects to deliver maximum business value?
- What frameworks help measure ROI beyond efficiency gains?
- How do you balance quick wins with long-term strategic bets?
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17:05
From Shadow AI to Assured AI: A Practical Governance Framework for Enterprise Adoption
Bharat Bajaj - Board Director - ISACA Melbourne Chapter
This presentation is designed to give the audience a clear understanding of one of the most immediate and under-governed AI risks facing modern organisations: AI that is already in use, but not yet properly visible, owned, or assured.
- A clearer understanding of the real governance problem. The session will show that shadow AI is not simply an IT policy issue. It is a broader governance, accountability, privacy, security and assurance challenge created by the mismatch between informal AI adoption and formal control structures.
- A practical framework they can apply. Attendees will be introduced to DAVE — Discover, Assign, Verify and Evolve — as a new four-step governance framework for bringing employee-led, vendor-embedded and contractor-delivered AI use into governance scope.
- A stronger understanding of how control failures occur in practice. Through Australian evidence and a case example, the presentation will illustrate how governance blind spots emerge when AI use is not visible early, ownership is unclear, and assurance happens after rather than before adoption.
- Immediate actions for leaders and governance functions. The presentation will leave attendees with practical actions they can take to improve visibility, accountability and risk-based oversight now, rather than waiting for a larger AI program or formal governance overhaul.
Speakers
Bharat Bajaj Board Director ISACA Melbourne Chapter
Ravneet Kaur Chapter Member/Moderator ISACA Melbourne Chapter -
17:30
Chair's Closing Remarks
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17:35
Close of Enterprise AI Melbourne 2026
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