AI is impacting the way we work on a day-to-day basis, and business as usual is no longer standardised. With new technology, comes new opportunity, but also new challenges and change. Join us to learn how ASB began their Generative AI journey where their AI roadmap was grounded in business ideated use cases to drive top-down endorsement to enable investment in new technology as a catalyst for realising business value. You’ll learn about how their CDAO took a business-led approach to AI ideation and adoption, and how they leveraged new technologies to deliver on priority AI use cases.

Looking to bring more value out of documents and other text data? Join us to learn about the latest serverless LLM functions and how you can get up and running with RAG-based AI chat experiences within minutes inside Snowflake.

Generative AI is reshaping Spark’s business analytics and insights journey. We’ve evolved from relying on technical teams to run complex, custom queries, to using hypothesis driven dashboards for insights and reporting, and now to on-demand analytics. With GenAI-enabled technologies like text-to-SQL, coupled with conversational interactions through chain of thought prompting, we are entering a new era of on-demand analytics, where real-time insights are enabling better decision-making.

Data privacy continues to be a paramount consideration for organisations looking to gain more value from their data as data privacy regulations evolve and now exist in over 70% of countries globally, according to the UNCTAD. Data owners are often making a challenging trade-off between not leveraging their sensitive data versus being able to collaborate and generate revenue from that data. Join this session to learn how the latest Snowflake Horizon product innovations in data privacy enable you to unlock more revenue and deeper partnerships with your sensitive, regulated and proprietary data, while protecting it with privacy-enhanced collaboration across multiple parties.

Join us as we unravel the ambiguities of data products and their transformative role in today’s AI-driven landscape. We will demystify what data products are, their role in helping organisations drive efficiencies, gain a competitive advantage, and explore their synergy with artificial intelligence. Our speakers will guide you through real-world applications, showcasing how the rise of AI amplifies the potential of data products to create value and foster growth.

Snowpark Container Services was announced at Snowflake Summit 2023, and is now in public preview in AWS. With Snowpark Container Services you can build almost anything on Snowflake. But what should you build? And how should you build it? In this session, we will review a small number of the most common, built-for-purpose architectural patterns to leverage Snowpark Container Services to solve business-critical problems on Snowflake.

In this talk, we explore the intersection of physical currency and data, uncovering the wealth of information embedded in banknotes. We’ll discuss how modern technology, like Snowflake’s AI Data Cloud platform, can be used to analyse and manage this data for distribution, forecasting, lifecycle prediction and other insights that literally move your money. Michelle Burke (RBNZ) bridges the gap between traditional currency and cutting-edge data solutions to unlock new opportunities in the digital age.

As financial services organizations look to adopt new technologies such as generative AI or accelerate their transformation agendas, a robust enterprise data strategy is becoming more critical than ever. Hear how other industry leaders have leveraged the Financial Services Data Cloud to streamline their data architecture, enable new data experiences via applications, and move from the art of the possible to AI implementation.

Join this session to hear the latest on Snowflake’s current capabilities for generative AI, and learn how they can empower your applications. We’ll provide an overview of how Snowflake’s generative AI features, including Snowflake Cortex and Copilot, empower customers to build cutting-edge LLM applications with ease. Hear our perspective, current capabilities, roadmap and vision for AI.

Dive into the latest product innovations such as Snowpark Container Services, Snowflake Native App Framework, Hybrid Tables and more that enable developers to create cutting-edge and AI-powered apps. Plus, discover new enhancements that further streamline the app development journey.

With an ever-increasing demand for data, organisations are looking for new ways to extract greater business value. With the rise of application and infrastructure clouds, the volume of data has grown exponentially and is often spread across different, isolated environments — a problem known as data silos. Fast, streamlined access to relevant data is key to driving successful business outcomes. However, many organisations struggle to share data—internally between teams and externally with partners, vendors, and customers. However, when data is shared, value is created. In this session, hear from domain experts at NZ Super Fund, 2degrees, and Health New Zealand on how they are securely sharing and collaborating on their data using the Snowflake AI Data Cloud. From application connectors to ingesting data from the Snowflake Marketplace, you’ll gain insights from leaders within three unique industries, moderated by Snowflake’s Head of Data Collaboration Strategy, Jonathan Wolf.

Data ingestion should not be hard! In this session, Snowflake product experts will provide an overview of what ingestion methods exist today with Snowflake, and when and why to use which ingestion option. Join us to gain a holistic understanding of how ingestion works in Snowflake, and see some of the latest capabilities in action. You’ll also learn about Snowflake’s native connectors such as PostgreSQL, and how it can remove friction from your data ingestion workload. In addition, we’ll discuss the connectors’ strengths and ideal use cases.

In this session, we will focus on how to easily connect to various data or resources to power end-to-end data engineering, machine learning and generative AI use cases. Join to hear best practices and the latest updates about how to connect over a private link for resources that are not available on the internet. We’ll also feature a live demo in this session.

We will share live examples of how we achieved acceleration through AI and powerful platforms of Snowflake, Coalesce, and Power BI. We focus on people, pace, and automation. The presentation underscores the importance of automating repetitive tasks to save time and reduce errors, and the role of standardisation to drive flexibility. Through our two years, we have a fivefold increase in pipeline productivity, six solutions consolidated in six months, 30% cost savings and a 60% reduction in query times which we will share our key methods to achieve this. We look forward to having you join us!

Explore how the NZ and Australian based wealth platform Sharesies, has leveraged data innovation to drive growth and change in the financial services industry. This session will delve into how Sharesies uses data strategically to democratise wealth while simultaneously scaling their business. Attendees will learn how data can be a powerful tool for creating positive social impact alongside business profitability.

In today’s AI era, the need for a streamlined document-processing operation with a collaborative framework that empowers businesses to make data-driven decisions has never been more critical. Approximately 80% of all data is unstructured, underscoring the vast, untapped potential that lies within documents of all formats. Existing processes are labor intensive, costly and do not scale, making them ineffective and siloed to different teams. This session will be a comprehensive presentation that explores the transformative power of Document AI in revolutionizing document processing, and democratizing both the process and data across all stakeholders, from engineering to operations.

Join us for an inspiring and dynamic session as we take you through One New Zealand’s ongoing journey from building a strong data foundation to driving AI-powered innovation. We’ll share the lessons learned, the challenges faced, and the breakthroughs achieved as we transform our data into meaningful AI applications that are reshaping customer experiences and optimizing operations. This session will not only showcase our progress but also offer insights and practical takeaways for your own journey toward AI innovation. Be part of this engaging conversation, where we’ll openly share our learnings and vision as we continue pushing the boundaries of AI in telecom and beyond!

Working with data is no longer limited to technical users of the platform. Every experience in Snowflake is a data driven experience. In this session we will focus on both new and existing features of the platform that open up Snowflake to many different personas in the organisation. In just 30 mins we will cover Snowflake Dashboards and connecting to other BI tools, leveraging native functionality to build Streamlit applications and use Snowflake Notebooks, interacting with your data through natural language and using the native app framework to build, distribute, deploy, operate and monetize apps natively.

According to Gartner Research, companies can lose up to 30% in revenue annually due to inefficiencies resulting from incorrect or siloed data. Snowflake provides organizations with the tool set to break down silos by expanding internal collaboration, centralizing data from enterprise applications, running apps directly on data – without data movement or copy – as well as unlocking collaboration across customers, vendors and business partners. In this session, we’ll dive into how customers are realizing more value from their data through collaboration, and how even nontechnical users can discover the content made available to them across the Data Cloud through LLM-powered search.

In this talk, learn about how Canva leverages Snowflake’s SnowPipe and Dynamic Tables to drive near real-time segmentation and personalized marketing at high volume & scale.
Deep dive into how Canva’s Marketing Technology stack transforms customer data from over 280M quarterly active users to efficiently drive recommendations and customer engagement.

Learn how Fivetran simplifies data integration and empowers businesses to make data-driven decisions. Discover how Spark has successfully implemented Fivetran to streamline their data pipelines and unlock valuable insights. Join us for a Q&A session where Fivetran and Spark will answer your questions.