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!

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.

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 Iceberg Data Sharing and the Egress Cost Optimiser can increase interoperability and data availability while keeping your data sharing costs down.

Like most organisations, Sharesies has a rapidly growing basket of data. The challenge isn’t just accessing it; it’s enabling our team to explore insights to improve our platform and grow our business. In this session, we’ll show you how we’re using Snowflake Intelligence to overcome this, making data accessible to everyone, not just our data-savvy team members.

You’ll see real-world examples of how we’re enabling our people to get the insights they need instantly, empowering them to make decisions that empower our customers to grow their wealth.

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.

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 utilisation and adoption
4. Accelerated time to insight
5.Metrics & Considerations

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.

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

When Fire and Emergency New Zealand projected 300-400% growth in evacuation reports on top of their existing 80,000 annual documents, traditional scaling wasn’t an option. This session reveals how they’re transforming regulatory compliance from operational burden into strategic capability through DocAI implementation. Having moved from proof-of-concept to production-ready architecture, they’re now deploying a solution that processes significant portions of their document volume while preparing for massive growth. Explore their modern data platform built on Snowflake, and the business case for automation over contractor scaling.

Discover how to elevate your data governance strategy with the latest innovations in Snowflake’s Horizon Catalog. This session will take you through how to leverage core governance capabilities, monitor sensitive data at scale, and generate data quality insights with anomaly detection and expectation setting. You’ll also learn to leverage data lineage for rapid root cause analysis and empower Data Governors with intuitive self-service discovery using the new Horizon Catalog Copilot, enabling them to build a more secure, trusted, and efficient ecosystem for generating powerful insights.

Experience Farmlands’ data transformation story—from the challenges that drove change to the modern platform enabling faster innovation. This session covers some decision points; migration acceleration strategies using AI; and how Snowflake’s capabilities transformed both technical workflows and business outcomes. Hear about some surprises encountered; engineering best practices implemented; and how an agricultural co-operative is now building AI-powered solutions for New Zealand farmers.

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.

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.

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 Tracksuit, we’re building an internal data platform as an evolving foundation to make our business data more accessible, useful, and intelligent. Using Snowflake as our core store and Cortex as a semantic layer, we’re connecting internal systems, shaping a shared business vocabulary, and exploring how LLMs can surface insights and generate recommendations for non-technical users. In this session, we’ll share what we’ve built so far, what we’ve learned, and where we’re heading as we continue to unlock self-serve, AI-powered insights across the company.

Join us for an immersive technical 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!