Get in early avoid the queue hot coffee and fresh made barista coffee.

• 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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AI is no longer a specialist topic, it’s a leadership, culture and execution capability. In this session, Abbi draws on his experience leading large-scale transformations to show how organisations can lift AI literacy across boards, executives and frontline teams. He’ll unpack how clearer understanding of the AI stack, data foundations and risk landscape enables faster, safer and more strategic adoption that actually delivers measurable value.

• Why AI literacy must sit across the whole organisation, not just in IT or data teams.
• Practical levers to build AI capability: architecture, data readiness, governance and skills.
• How improved AI literacy turns hype into disciplined execution, risk-aware decisions and sustainable ROI.

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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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AI initiatives succeed or fail on the quality of their data. This session explores how organisations are preparing their data environments to support enterprise-scale AI  ensuring information is trustworthy, accessible, and structured for learning. You’ll hear practical strategies for transforming fragmented data pipelines into reliable, high-performance foundations that turn AI experiments into operational success.

We'll cover:

• Assess Readiness: Learn how to evaluate whether your data is fit for AI adoption.
• Build Trust: Discover governance, quality, and accessibility practices that scale.
• Deliver Value: See how mature data foundations accelerate measurable AI outcomes.

AI is beginning to influence how teams operate, how work is coordinated, and what roles may look like over the coming years. But there’s still little agreement on how organisations should adapt from where AI assistants fit into daily workflows to how management layers, team structures, and training approaches may evolve.

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This interactive session puts these questions to the audience. Participants vote live on several scenarios, we explore the results together, then vote again to see how perspectives shift as the discussion unfolds.

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This session will cover:

·      How AI assistants may support individual roles across the enterprise

·      How team structures and management practices may evolve

·      Which skills and training pathways become more important

·      Early lessons from organisations experimenting with AI in daily work

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