Enterprise AI Melbourne schedule

In this 5-minute networking session, the goal is to connect with three new people. Enjoy the opportunity to expand your network!

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.

Panel 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)
 

• How can organisations ensure transparency and explainability in AI-driven decision-making while still protecting proprietary models and maintaining competitive advantage?
• What practical frameworks or governance models are proving effective in balancing innovation speed with evolving regulatory and ethical requirements for AI?
• How can companies build and sustain stakeholder trust (customers, regulators, employees) by mitigating risks such as bias, data privacy breaches, and model drift in real-world AI deployments?

• 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? 

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 

• 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? 

• • 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

• Which AI initiatives scaled successfully, and what were the key enablers?
• Where did organisations fail, and how could those outcomes have been avoided?
• How do lessons differ across industries like finance, healthcare, and retail? 

• 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?

• 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?

• 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?

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 

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