Learn how Snowflake is innovating to provide faster warehouses with Standard Warehouse- Gen2, while making compute easier to use with better price/performance through Snowflake Adaptive Compute. Join us for new product and feature overviews, best practices and live demos.

Learn how to bring all your data together with Snowflake Openflow to build with limitless interoperability and deployment flexibility, no matter if it’s structured, unstructured, batch or streaming data. Make your integration pipelines ready for AI and the future.

Discover how to build and deploy a no-code, agentic AI platform with Snowflake Intelligence. See how organisations are bringing together structured and unstructured data to make insights accessible across their entire enterprise via an AI-driven agentic interface, all within Snowflake. Join us for a product overview, best practices discussion and live demo.

Explore how Snowflake and Microsoft collaborate to transform data and AI workflows. Learn to operate on a single data copy between Microsoft Fabric OneLake and Snowflake via Apache Iceberg, eliminating duplication. Discover Real-Time RAG AI Agents that integrate Snowflake’s trusted data and enterprise systems for instant Microsoft Copilot responses, without copying data. Unlock Real-Time Actions using PowerApps with live query and writeback to Snowflake, all with no code. Simplify and innovate with these powerful tools.

Learn how to drive collaboration across your business ecosystem with the latest from Snowflake Horizon Catalog, including External Data Discovery, to effortlessly find data both within Snowflake and from external systems. See demos of the latest Internal Marketplace updates, including Organisation Profiles and Request for Access, to streamline and accelerate the sharing of data, apps, and AI. Finally, learn how Snowflake Data Sharing and the Egress Cost Optimiser can increase interoperability and data availability while keeping your data sharing costs down.

Learn how to build and deploy accurate conversational apps and bring AI-powered data agents into production with ease and trust across your enterprise. Join us for new product insights, feature overviews, best practices and live demos.

The retail and consumer goods industries are undergoing significant transformation, driven by shifting consumer behaviors, global economic changes, supply chain disruptions and, most importantly, rapid technological innovation. This session is designed for business and technology leaders in RCG, offering them insights and strategies needed to navigate and thrive in this evolving landscape. Learn from the transformational experience of the leading global consumer goods company, Snowflake industry experts and key partners as they explore how data and AI technologies are shaping the industries’ future.

AI is now a current reality, not a future idea, and it’s revolutionising industries, especially retail. It’s changing how retailers work and engage with customers, from tailored suggestions to improved supply chains.

Ever wondered how Canva manages to keep up with hundreds of millions of users while delivering personalized experiences? Jill Robbinson, Canva’s Content & Discovery Data Lead and Sida Yuan, Senior Data Scientist, will reveal how Snowflake’s robust platform handles immense data ingestion and complex analytical workloads. Get an exclusive look at how Canva is tapping into Snowflake’s new GenAI capabilities and Semantic Layer to unlock powerful, natural language insights, paving the way for the next era of self-service data. Don’t miss this deep dive into data innovation!

Learn how to better oversee, control and optimise the cost and performance of your Snowflake workloads through capabilities like Cost-Based Anomaly Detection, Tag-based Budgets and Performance Explorer. Join us for new product and feature overviews, best practices, and live demos.

At Snowflake, we’re not just the builders of the AI Data Cloud; we are its first and most demanding customer. Join this fireside chat to go behind the scenes and discover how we run Snowflake on Snowflake. Learn how our teams—from sales and marketing to finance and HR—use our own technology, including Cortex AI, to drive efficiency, accelerate innovation, and answer critical business questions.

In this session, we will enable CDAO’s Enterprise Data Strategy by exploring the full lifecycle from the concept of data products—packaged, readily consumable data assets—to their distribution through Snowflake’s internal marketplace.

We will drive home 5 key points within this data product lifecycle:
1. Simplified data access for business users
2. Improved data discoverability and understanding
3. Increased data utilization and adoption
4. Accelerated time to insight
5. Metrics & Considerations

Join us for an immersive Technical Lab session dedicated to the cutting-edge capabilities of Snowflake’s Gen AI. Dive deep into a comprehensive demo and code walkthrough showcasing how Snowflake Intelligence and Data Agents can empower users to unlock valuable insights from their data. This session will equip you with an understanding of agentic capabilities within Snowflake, providing you with the resources and practical knowledge to implement these innovations on your own datasets. Whether you’re a data scientist, analyst, or business user, you’ll leave with the tools and insights needed to harness the full potential of Snowflake in your analytics journey. Don’t miss this opportunity to elevate your genAI skills!

In this Fireside Chat, Brian Smith GM Transformation and Mark Chapman COO share National Tiles transformation journey and lessons learnt along the way. Discover how Domo with Snowflake was key to this national retailers success.

Master AI-powered analytics in Snowflake. Learn how to leverage Snowflake’s powerful AI SQL functions for advanced analytics on unstructured and structured data using AI. We’ll also demonstrate how to use Semantic Views to bridge the gap between data and business understanding.

Explore Snowflake’s enterprise AI vision, innovations, and roadmap. You’ll see how Snowflake Intelligence, Cortex AI SQL, Cortex Agents, automatic Semantic Model generation and specialised AI tools work together inside Snowflake’s secure platform, turning multimodal data into transformational impact for enterprise customers without infrastructure headaches. Walk away knowing how these integrated capabilities give business users, data analysts and engineers the tools, speed and governance required to deploy AI into production.

Data is no longer just information; it’s the essential currency of connected healthcare. This session will showcase how NSW Health is generating real-world returns from its data strategy by empowering its workforce with a self-service analytics model. You will see this framework in action through the Financial Insights Assistant, an innovative application that revolutionises financial decision-making. Experience how it uses natural language interaction to transform complex, unstructured data into clear, contextually relevant insights and practical recommendations. A compelling healthcare financial management use case will illustrate how this tool simplifies analysis for finance stakeholders, helping them understand and optimise service costs to build a more efficient and sustainable system.

Our presentation highlights Domain’s journey from traditional data access methods to a future of effortless insights. We’ll explore Domain’s evolving approach to achieve data happiness as well as the strategic decision to integrate Snowflake Cortex AI for its trust and scale, and demonstrate how this powerful tool now bridges the gap, allowing anyone to speak the language of data and unlock immediate answers.

Navigating an AI-powered, data-driven financial services future can be challenging, particularly as the industry faces greater pressure to demonstrate tangible returns on their AI investments. Join this Financial Services session and hear directly from industry leaders about their partnerships with Snowflake, the business and technology challenges they’re looking to solve and the key use cases they’re implementing. Plus learn what the latest Snowflake announcements mean for the industry. Whether you’re a business executive, a technology leader or a Snowflake user, this session will provide actionable insights on how to architect for data and AI ROI.

Learn how to accelerate and automate migrations with SnowConvert AI, featuring data ecosystem migration agents powered by Snowflake Cortex AI. SnowConvert AI is your free, automated solution designed to dramatically reduce the complexities, costs, and timelines associated with data warehouse and BI migrations. It intelligently analyzes your existing code, automating code conversion, data validation, and streamlining the entire migration process. Join us for an overview of the solution, migration best practices, and live demos.

This session will explore how Woodside Energy leveraged a single platform approach to simplify their data environment, optimize total cost of ownership, enhance operational efficiency, governance & accelerate data use. Attendees will gain insights into the key considerations and challenges faced during their platform journey, and how a data platform snowballs to ingesting more than a billion data records while serving a million user queries every day.

Which bear has it right? The constant tug of war between centralised and federated, immediate value and strategic capabilities, safety and speed – balancing these in the AI era is certainly no fairy tale. Come along to hear about Xero’s never-ending quest to provide “just right” data.

Join Anton Schoeman, Head of Architecture at Challenger, and Daniel Biegler, Head of Accenture’s ANZ Snowflake practice, as they discuss how trusted, AI-ready data, business-user enablement, and ecosystem collaboration are critical to scaling GenAI beyond pilots. Discover how Snowflake and Accenture are helping organizations like Challenger close the trust, skills, and governance gaps to drive real AI-powered reinvention.

Join this hands-on workshop to discover how Snowflake and Amazon Web Services seamlessly integrate to democratize AI for data professionals and business users alike. You’ll learn to build a complete AI solution with Snowflake Cortex agent and Amazon Q that orchestrates across both structured and unstructured data sources to deliver insights, and empowers natural language data querying—all while accelerating decision-making across your organization.

Perfect for: Data engineers, analysts, marketing professionals, and business stakeholders looking to harness AI without complex coding requirements.

Take away: A complete understanding of how to deploy production-ready AI solutions that bridge the gap between technical capabilities and business value, making advanced analytics accessible to every team member.

To effectively govern your AI models end to end, you need visibility and controls across the entire data lifecycle. This includes ensuring data quality for model inputs, using data lineage to track dependencies and workflows, and enforcing safeguards on model outputs. Join this session to learn best practices for governing models with Snowflake — improving data integrity, increasing transparency into your AI pipeline, and ensuring responsible AI deployment.

Come learn the best practices around monitoring (alerts); backup/restore (cloning, replications, practicing failover scenarios, using finalise constraints); scheduler configurations (intuition around target lag, scheduling tick overview, target lag vs scheduling refresh); debugging best practices (walk through some debugging workflows); running thousands of DTs and much more!

In this session, learn more about Snowflake’s end-to-end ML platform and how it supports creating production-scale deployments and operationalisation of your models. We will dive into MLOps essentials and Snowflake’s capabilities for model management and model serving. You can easily bring models trained externally, or train them at scale using Snowflake ML, and then securely and scalably deploy them for inference with our flexible serving environments. At the end, we’ll bring this to life with a real-life scenario of managing production models, running continuous evaluations to train and deploy champion-challenger models.

Discover how ASB is transforming its data landscape using dbt Cloud to power scalable, governed, and privacy-conscious data products. This session explores ASB’s journey from legacy systems to a modern Snowflake-based architecture, highlighting macro-driven development, template-based governance, and domain-aligned product curation. Learn how dbt enables ASB to build with consistency, monitor with confidence, and deliver data products that matter.

Hear how Australia Payments Plus leverages AWS and Snowflake and their approach to using rich payment data responsibly to enable financial service innovation. Purpose-driven technology at scale

A practical Product-oriented guide to leveraging Snowflake’s privacy-preserving Collaboration tools, including data protection policies, data clean rooms, synthetic data and more to unlock business value from sensitive data. Modern organisations are looking for ways to collaborate internally and externally on sensitive data of all kinds, while still respecting the sensitivity. Hear how Snowflake Data Collaboration capabilities enable leading organisations to obtain the best of both worlds.

Unlock Snowflake’s power with Snowflake Cortex AI. We’ll share real-world examples, including reducing work item backlogs through intelligent prioritization and automating client data updates from free text across multiple source systems. Additionally, we use Streamlit as an interface for review and quality checks. Learn about our successes, challenges and practical tips for your Snowflake Cortex AI implementation.

In this FSI industry panel our executive speakers will discuss business challenges in data governance and ethical AI, implementing Gen AI into your organisation and AI’s value within the insurance industry. Attendees will learn about preparing for AI with foundational data capabilities and tools to leverage to future proof for AI. Our executive panelists will share valuable insights on their AI journey and key use cases will be explored.

Rethink how you build open, connected, and governed data lakehouses: integrate any Iceberg REST compatible catalog to Snowflake to securely read from and write to any Iceberg table with Catalog Linked Databases. Unlock insights and AI from semi-structured data with support for VARIANT data types. And enjoy enterprise-grade security with Snowflake’s managed service for Apache Polaris™, Snowflake Open Catalog.

In this session, discover how Entain reimagined its enterprise data architecture by leaning into Snowflake’s native capabilities unlocking performance, scalability, and speed without overengineering.

We’ll kick off with our high-impact migration from SQL Server to Snowflake, showcasing how this shift delivered cloud-native scalability, reduced complexity across data operations, and paved the way for faster insights.
Next, we’ll explore how we’ve built out our core data warehouse layer using Snowflake Tasks enabling streamlined orchestration and scalable ETL with minimal operational overhead.

Finally, we’ll demonstrate how Streamlit has transformed the way our Finance team manages data enabling timely data capture, improving data integrity, and supporting real-time decision making for critical downstream processes.

This panel will explore how organisations can leverage data and actionable strategies to build equitable healthcare ecosystems. Panelists will discuss how to align the healthcare ecosystem with the needs of diverse patient populations. This conversation will delve into how creating a more inclusive and equitable healthcare landscape drives accessibility and improves health outcomes for all.

Join this hands-on workshop to discover how Snowflake and Microsoft seamlessly integrate to democratize AI for data professionals and business users alike. You’ll learn to build a complete AI solution with Snowflake Cortex agent and Microsoft Copilot Studio that orchestrates across both structured and unstructured data sources to deliver insights, and empowers natural language data querying—all while accelerating decision-making across your organization.

Perfect for: Data engineers, analysts, marketing professionals, and business stakeholders looking to harness AI without complex coding requirements.

Take away: A complete understanding of how to deploy production-ready AI solutions that bridge the gap between technical capabilities and business value, making advanced analytics accessible to every team member.