• How nbn uses an internal technology exploration and development team to scale innovation
• How GenAI was rolled-out company-wide and is now being expanded to support agents
• How a low-latency data processing pipeline is making our network more reliable

This keynote explores how large organisations are operationalising AI responsibly and what’s needed to turn experimentation into enterprise-wide capability.

• How leading enterprises are scaling AI from isolated pilots to business-wide deployment
• Building the data, infrastructure and governance layers to enable trusted AI at scale
• Balancing innovation with control — managing risk, compliance and model transparency
• What comes next — preparing your enterprise architecture for adaptive, self-optimising systems

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This discussion brings together leaders who are driving AI at scale to share how they are balancing innovation, accountability and trust across the business.

• How to implement, scale and redefine AI across the enterprise
• Building governance frameworks that keep pace with rapid deployment
• Aligning leadership, risk, and technical teams to drive value without losing control

In this innovative session, attendees will be faced with a series of scenarios that they may face in their roles. Attendees will discuss the possible courses of action with their peers to consider the ramifications of each option before logging their own course of action.

Results will be tallied and analysed by our session facilitator and results will impact the way the group moves through the activity.

Will we collectively choose the right course of action?

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In this practical session, learn how one organisation overcame the barriers to AI adoption, built internal confidence, and turned scepticism into measurable success.

• Understanding what holds people back from embracing AI in day-to-day work
• Building trust and literacy around AI to drive engagement and ownership
• Overcoming governance, data quality and change management hurdles that block adoption
• Lessons learned from turning pilot fatigue into meaningful enterprise-scale impact

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Learn how to overcome integration bottlenecks, streamline deployment pipelines, and build a scalable foundation where AI actually delivers impact.

• Unifying fragmented data and systems to enable seamless AI deployment
• Automating model delivery, monitoring and updates across complex environments
• Building architecture that supports scale, speed and security from day one

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Join AI program implementers as they explore how to assess whether your AI strategy is delivering on its promise and what signals show it’s time to rethink the approach.

• How to measure adoption and ensure AI tools are being used effectively
• Tracking productivity gains and efficiency improvements across teams and workflows
• Gauging innovation impact — are AI investments driving new ideas, products and revenue
• Deciding when results justify staying the course, scaling up, or changing direction

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Learn how to redefined accountability, restructure teams, and build a culture that thrives on data-driven decision-making.

• How AI changes the structure, skill sets and responsibilities within an organisation
• What new operating models are emerging as humans and AI systems collaborate
• Leading change: winning trust, redefining roles and sustaining momentum

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In this session, we’ll take a live pulse of the room on big-picture questions. The results will drive a candid, expert-led discussion on what they reveal about where we are — and where we’re heading.

• Build vs Buy: When it comes to enterprise AI, which path do you think delivers the most long-term value?
• Speed vs Safety: What’s more important when rolling out AI at scale?
• Human Jobs vs Machine Agents: How do you see AI and automation impacting the workforce in the next 5 years?
• Centralised vs Federated Governance: What’s the best way to govern AI strategy, ethics and risk across an enterprise?

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