Discover the building blocks for an effective data strategy to help you unlock AI, ML and apps innovation. See how you can eliminate data silos, govern access to all your data across your company and ecosystem, and empower all teams with isolated, instantly elastic compute resources for the languages of their choice (Python, SQL, Java, Scala, and more). Plus, see a live Snowflake demo!

Transpower started on its Data & Analytics transformation program in 2021, with the aim of completely re-imagining our relationship to Data and what the possibilities are.

We’re now 4 years on, and have had some major successes with Technology stack changes, a completely new Operating Model unlike anywhere else in Transpower, and are now looking ahead at a world where Data is central to everybody’s thinking across the company. But it wasn’t easy, and it’s only when you look back you see how far you’ve come

At Airtasker, data integrity and governance are at the core of our decision-making. We’ll share how Snowflake’s reliability and advanced features enable us to maintain a scalable, well-governed data ecosystem. Learn how we integrate Snowflake with our CRM, leverage data sharing with Stripe, and plan to utilise features like Cortex Analyst, Postgres connector and other marketplace offerings to streamline data operations. We’ll share key lessons on how snowflake is foundation to our data strategy and analytics operations.

MoneyLion will discuss and share insights on the evolution of data infrastructure through the transition to a multi-layer database architecture driven by ELT principles. Their session will introduce key concepts in modern data provisioning, data governance, and data lifecycle management. Core topics include architectural comparisons and the advantages of adopting a multi-layer approach with ELT—particularly in flexibility, performance, and data ownership. Their presentation will also highlight practical considerations such as tooling, access control, and streamlined processes that contribute to a well-structured and efficient data architecture.

Learn from your peers. Snowflake customer Chalo will present how they are leveraging the Snowflake platform to make data-driven decisions.

Join us for a live guided tour of key functionality in Snowflake. An instructor will walk you step-by-step through how to get started with sample code and data using the free trial. You can follow along and get your questions answered in real-time.

Generative AI is not just a buzzword—it’s a transformative force revolutionizing the way businesses operate and we’re here to prove it! By leveraging neural networks and deep learning algorithms, Generative AI identifies patterns within vast datasets and generates original content, from text to complex workflows. Join us for a virtual hands-on lab to explore three common business use cases where this technology is making an impact.

In this Snowflake virtual hands-on lab, we will go through all of the pieces required to build the Streamlit in Snowflake application, including Cortex LLMs and RAG fundamentals.

Discover how to align AI with data within your organisation, supported by real-world experiences and examples. We’ll delve into key platform considerations, effective implementation methods, and how to realize tangible value from AI, all while emphasizing the importance of a robust data foundation. This session will highlight the critical role of a comprehensive data strategy in achieving success with AI through practical case studies and insights.

Dive into Snowflake data engineering as we explore how Snowflake supports Analytics Engineering, Large-Scale Data Processing, and the Open Lakehouse model. Learn how it enables clean data modeling, efficient processing of vast datasets, and innovative, scalable architectures. Discover how Snowflake simplifies data engineering with features like declarative pipelines for both streaming and batch data, eliminates the need for complex pipelines through Data Sharing, and allows coding in multiple languages on a single, optimized engine. This session highlights Snowflake’s role in transforming data engineering into a more streamlined, cost-effective, and future-ready discipline.

In this session with Snowflake data analytics, we explore how Snowflake simplifies data warehouse migration with tools like SnowConvert, enhances analytics through advanced SQL, BI, and AI capabilities, and supports both internal and customer-facing application development. We’ll discuss how Snowflake’s self-optimizing engine boosts performance while managing costs effectively, making it an ideal solution for future-proofing your data strategy across diverse data types. This session highlights Snowflake’s comprehensive approach for businesses looking to scale and innovate with data analytics.

Lets step back and look at Snowflake Data Platform, where we’ll focus on enhancing security, observability, and practical implementation across its unique architectural layers. We’ll explore how Snowflake’s interoperable storage, elastic compute, Cortex AI, and cloud services work together to provide seamless performance, simplified management, and unified governance, all while ensuring no trade-offs in functionality. Learn how Snowgrid supports cross-cloud connectivity and data collaboration, enhancing business continuity and operational efficiency.

Explore how Snowflake’s platform breaks down data silos with zero-ETL sharing, enabling seamless AI and data app development. We will discuss how developers can leverage Snowflake to build, distribute, and monetize applications through the Snowflake Native App Framework and Marketplace, fostering frictionless collaboration across clouds and regions with Snowgrid. Discover how to connect external data sources swiftly, enhancing your AI and analytics initiatives while optimizing costs and compliance with privacy regulations.

Learn what you can achieve with Snowflake AI & ML as we showcase how Snowflake Cortex AI and Snowflake ML empower businesses to drive trusted AI solutions. In this session, we discuss extracting insights from unstructured data, developing conversational AI assistants, and deploying machine learning models efficiently—all streamlined by Snowflake’s fully managed, secure infrastructure. We emphasize Snowflake’s role in making AI accessible, cost-effective, and secure, enabling organizations to leverage their data for a competitive advantage.