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

This keynote will explore how AI is reshaping the financial services landscape by driving operational efficiency, enhancing customer experiences, and fostering innovation.

• How banks and FSIs are transitioning from pilot projects to enterprise-wide AI adoption to generate measurable business value.
• The rise of agentic AI and multi-agent systems enabling real-time decision-making and knowledge scaling across institutions.
• Strategic approaches for balancing rapid AI innovation with governance, compliance, and ethical considerations in finance.

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.

Rising customer expectations and increasing enquiry volumes are placing growing pressure on service teams across financial services. This session explores how AI-powered automation can help organisations manage demand, improve responsiveness, and enhance customer experiences without increasing headcount.

Key takeaways:

• Identify the highest-impact customer service processes to automate to reduce manual workloads and improve operational efficiency.
• Improve response times and customer satisfaction by deploying AI-driven solutions that deliver faster, more consistent support.
• Scale customer service sustainably by balancing automation with human expertise to meet growing demand without expanding teams.

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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?

Turning AI Signals into Action

AI is evolving faster than traditional governance cycles, creating pressure on financial services organisations to move beyond reactive compliance and periodic policy reviews.

This session:

• shares how a weekly AI horizon scanning practice evolved into an AI Governance Intelligence Loop, enabling the organisation to continuously sense, assess, prioritise and respond to emerging AI developments.
• explores a practical approach to operationalising dynamic and proactive AI governance, balancing innovation opportunities with risk management in a rapidly changing environment.
• Sees real-world examples of how AI trends informed policy development, control enhancements, governance decisions, vendor oversight and future capability planning.
• Reflects on how this approach supports increasing expectations from global and Australian regulators for organisations to demonstrate responsible, risk-based and adaptive AI governance.

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.

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!