Beat the rush and join us early for complimentary barista-made coffee and breakfast.

This keynote will explore the rate of AI progress, the implications on the assumptions we make about the build/buy/partner landscape, and projections of what 2030 might look like, and how to ensure our industry leads from the front.

Discover how financial services organizations are transforming data fragmentation and AI complexity into competitive advantage with the Snowflake AI Data Cloud. This keynote session showcases how banks and insurers are eliminating data silos, overcoming AI trustworthiness challenges, and accelerating their journey from pilot to production. See firsthand how Snowflake Intelligence and integrated AI capabilities deliver predictable performance at scale—transforming the way financial institutions build, deploy, and govern AI applications while maintaining regulatory compliance and customer trust.

• From Fragmentation to Unified Intelligence: See how leading financial institutions consolidate siloed data ecosystems, demonstrating measurable gains in operational efficiency, risk management, and customer experiences through governed, enterprise-scale data access.
• Trustworthy AI for Regulated Environments: Experience live demonstrations of Snowflake Intelligence capabilities that address critical FSI challenges—AI hallucinations, audit trails, and regulatory compliance—while accelerating fraud detection, personalization, and analytics use cases.
• The Human Side of AI Transformation: Learn how industry leaders build cross-functional capabilities, adopt data-as-software practices, and empower teams to unlock strategic value from data assets.

AI promises to transform every corner of financial services; but between flashy pilots and boardroom pressure, how do firms move from hype to real business value? This discussion unpacks what it really takes to build an AI program that delivers measurable outcomes, scales responsibly, and avoids the costly trap of “FOMO adoption.”

• Cutting through complexity to design AI programs that start with business goals, data quality, and human capability, not just technology buzzwords.
• How organisations can resist the rush, clarify the right use cases, and align talent, governance, and budgets for lasting impact, whether you’re a nimble fintech or a major bank.
• Getting the numbers, and the narrative, right. Learn how to calculate AI ROI, manage executive expectations, and reset strategy when pilots fail to scale.

See how Tungsten Automation helped a leading Australian insurer transform its claims operations by automating repetitive tasks, accelerating decision-making, and improving accuracy to deliver faster outcomes for both teams and customers.

• Automating repetitive claims tasks such as document handling, data extraction, and workflow routing to significantly reduce processing time
• Improving accuracy and consistency in claims assessments by reducing manual intervention and standardising decision workflows
• Enhancing customer experience by enabling faster claims resolution while allowing claims teams to focus on complex cases and higher-value activities

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.

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

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Will we collectively choose the right course of action?

While it may sound a little cliche, but it’s absolutely true that change has become the constant for organisations and their people. In this fireside chat, David Walker draws on his leadership experience at DBS Bank and Westpac to share how leaders can prepare their people to navigate ongoing transformation with confidence and clarity.

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The conversation explores practical leadership lessons for operating in an era shaped by rapid technological change and shifting global dynamics, and how executives are rethinking risk, capability and culture to stay adaptable.

• How leaders can reduce change fatigue and build confidence during constant transformation
• What skills and mindsets matter most as AI and emerging technologies reshape work
• How executive risk thinking is evolving to support adaptability, not just control

Learn how financial services teams can move beyond experimental AI and deploy trusted, governed analytics that deliver fast insights while meeting the rigorous standards of risk, compliance, and audit.

• Combining LLM capabilities with a governed analytics foundation to eliminate hallucinations and ensure outputs are accurate, traceable, and explainable
• Enabling finance, risk, and compliance teams to generate insights in plain English while maintaining full data lineage, controls, and regulatory transparency
• Operationalising AI across use cases such as risk modelling, regulatory reporting, and customer analytics without introducing governance or compliance risk

This panel examines practical AI governance frameworks designed specifically for Australian financial institutions to ensure compliance with regulatory requirements while enabling responsible and scalable AI deployment across operations.​

• Establishing executive-level AI governance committees with direct board reporting, incorporating Australia's Eight AI Ethics Principles to oversee high-risk applications such as credit scoring and fraud detection.​
• Implementing comprehensive AI inventories, bias testing protocols, and continuous model monitoring to meet regulatory standards and prevent biased outcomes in lending and customer segmentation.
• Adopting centralised risk catalogues and RegTech solutions for agentic AI systems, providing robust audit trails and human oversight to facilitate compliance with both domestic regulations and international standards

Select a topic of discussion and engage in an interactive roundtable discussion with a group of your like-minded peers.

Put your knowledge to the test in this fast-paced quiz covering real-world trivia, key concepts, and emerging trends. Compete for bragging rights - and a travel voucher - as the top scorer takes the crown.

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This keynote focuses on AI’s crucial role in combating financial crimes while personalising and improving client interactions and experiences.

• Deploying AI-powered fraud detection and scam prevention solutions that actively disrupt malicious actors and enhance ecosystem collaboration.
• Personalising financial services through AI-driven customer insights and natural language interaction tools.
• Best practices for integrating AI automation with human-centric service to maintain trust, transparency, and workforce stability.

What happens when you rebuild credit decisioning from the ground up with AI? In this session, Beforepay shares how it transformed lending through an AI-powered credit risk engine, enabling near-instant approvals, scaling rapidly, and maintaining strong compliance in one of the world’s most tightly regulated financial services markets.

• AI at the point of decision: Leveraging machine learning to assess thousands of data points in real time, improving approval speed while managing risk and minimising defaults
• Scaling without breaking: Building an AI-enabled lending platform that can handle rapid growth in loan volumes without compromising performance or risk controls
• Compliance by design: Embedding transparency and explainability into AI models to meet regulatory expectations while delivering a faster, better customer experience

This think tank examines whether accelerated AI-driven automation in banking and finance creates significant job displacement or enhances workforce productivity and engagement.

This interactive session puts these questions directly to the audience. Participants vote live on a series of real-world scenarios, explore the results together, and vote again as perspectives shift through the discussion.

• AI automation reduces repetitive and manual workload, freeing staff to focus on higher-value, strategic activities that drive innovation and customer service.
• Overreliance on AI risks job cuts, growing workforce instability, and diminished human oversight, potentially degrading customer experience and operational resilience.
• The future workforce model requires balancing AI augmentation with human skills, investing in retraining, and redesigning roles for a collaborative human-AI ecosystem.

Unwind with your peers for a couple of drinks on us!