Go beyond the AI hype and build a real-world strategy. This session maps out a practical, end-to-end roadmap for a scalable enterprise AI program, covering common pitfalls and business justification. We’ll cover the full lifecycle – from data preparation and agentic AI to applications, collaboration, and measuring business value on Snowflake.

Stop wrestling with data silos that kill your projects. Modern analysis requires PDFs, JSON, images, geospatial data, and traditional tables – all working together. Learn how Snowflake’s platform unifies all your data types – structured, unstructured, semi-structured and open table formats to create a single, governed source of truth that fuels analytics and eliminates costly, brittle data pipelines.

Whether you’re building predictive ML, doing data science via an agent, using third-party LLMs, or training your own, this session shows how Snowflake is THE platform for your data, ML and AI.

Discover how to build, deploy, and scale any type of AI model using tools like Snowpark and Cortex, and Snowflake Intelligence all while optimizing for cost and performance by running the compute securely inside your data platform.

Your data is spread across multiple clouds, SaaS applications, and partner platforms – and moving it is risky and expensive. This session focuses on interoperability, exploring how Snowflake’s secure data sharing and Marketplace capabilities let you connect and share live data across your entire business ecosystem without the friction of traditional ETL.

There is no AI strategy without a secure, robust and reliable data strategy. This session covers Snowflake’s robust framework for data governance – Snowflake Horizon, access control, and privacy. You’ll learn how to leverage features like data lineage and masking to build reliable, auditable, and compliant AI applications.

Go beyond the AI hype and build a real-world strategy. This session maps out a practical, end-to-end roadmap for a scalable enterprise AI program, covering common pitfalls and business justification. We’ll cover the full lifecycle – from data preparation and agentic AI to applications, collaboration, and measuring business value on Snowflake.

Move from AI theory to real-world application. This session showcases inspiring and practical examples of what’s possible with AI on Snowflake today. Learn all about the outcomes our customers are driving with Snowflake, giving you a forward-looking glimpse at the next generation of data-driven innovation.

Discover how the collaboration between Amazon Quick Suite and Snowflake’s data and AI platform can unleash your data’s full potential. Join our session to see how this partnership enables comprehensive structured and unstructured data analysis, and the creation of secure, data-driven GenAI solutions. This powerful combination empowers you to democratize data insights, allowing your organization to make strategic business decisions that go beyond descriptive and predictive analytics to prescriptive insights, all without requiring complex coding or a data science background.

You no longer need to be an expert data scientist to get value from AI. Join this session to learn how Snowflake is democratizing insights for all business users. See how new tools like Cortex Search and Analyst let you ask natural-language questions, and how AI SQL helps analysts accelerate their work – all without complex coding.

AI shouldn’t be a black box you can’t control. This session explains Snowflake’s approach to an open AI ecosystem. Learn how you can use your preferred models (from Snowflake, open-source, or 3rd-party) and tools, all while maintaining the security, governance, and model registry features that your enterprise demands.

Move from AI theory to real-world application. This session showcases inspiring and practical examples of what’s possible with AI on Snowflake today. Learn all about the outcomes our customers are driving with Snowflake, giving you a forward-looking glimpse at the next generation of data-driven innovation.

Great AI models are built on great data, but most teams spend 80% of their time just preparing it. This session provides a practical playbook for making your data “AI ready.” We’ll cover essentials like unified ingestion, robust quality monitoring, and creating feature stores to ensure your AI initiatives are built on a trusted, reliable foundation and also talk about the latest innovations from Snowflake that will help you make your data “AI Ready”.

Should you build a data mesh, a data lakehouse, or a unified data vault? This session demonstrates how Snowflake’s flexible platform supports the modern data architecture that fits your business needs, not the other way around. Learn how to enable domain-driven ownership and data products without creating new silos.

Your data, your rules. Avoid vendor lock-in. This session highlights how Snowflake’s support for open standards, like Apache Iceberg Tables, and open-source tools gives you maximum flexibility and control. Learn how to build a data strategy that’s future-proof and portable.

In today’s data-driven world, speed matters. Organizations that can quickly centralize, transform, and activate their data gain a competitive edge—especially when powering AI and Snowflake Intelligence capabilities. But here’s the reality: most teams still spend 80% of their time preparing data, not using it.
What changed? Five years ago, building data pipelines meant months of coding, server management, and endless maintenance. Today, that world is gone. This 45-minute session reveals how Snowflake and Fivetran have created a powerful, integrated ecosystem that eliminates traditional data engineering complexity—reducing your time-to-insight from months to days.

Stop moving massive datasets to your compute – it’s slow, expensive, and insecure. This session explores how Snowflake’s flexible architecture brings the compute to your data. Learn how to run diverse workloads, from containerized apps to GPU-powered AI training, all within Snowflake’s secure perimeter for maximum efficiency.

Great AI models are built on great data, but most teams spend 80% of their time just preparing it. This session provides a practical playbook for making your data “AI ready.” We’ll cover essentials like unified ingestion, robust quality monitoring, and creating feature stores to ensure your AI initiatives are built on a trusted, reliable foundation and also talk about the latest innovations from Snowflake that will help you make your data “AI Ready”.

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.
What You’ll Learn & Explore
– How to navigate Snowsight, the Snowflake user interface, and other connection options.
– Insights into data ingestion and transformation in Snowflake.
– How to work with different data types in Snowflake including semi-structured and unstructured data.
– Setting up virtual warehouses and getting started with good financial governance.
– Basic data governance and security concepts.
– Access data from data sharing and the Snowflake Marketplace.
– Creating and sharing data analysis.

In this hands-on lab, you’ll learn how to use Snowflake Intelligence to turn your organization’s data into clear, trusted answers. We’ll guide you through creating an intelligence agent that understands natural language questions and connects insights across both structured and unstructured data, helping you move beyond dashboards to real explanations.

To efficiently and securely combine data with LLMs, data and engineering teams can use serverless LLMs and search all available data inside Snowflake. Join us in this hands-on lab to learn how seamless it can be to use integrated and easy to use AI infrastructure to quickly build and deploy scalable and secure apps. At the end of this lab, you will have experience in building chatbots and other types of AI applications using the latest features in Snowflake Cortex and Streamlit.

Join this Hands-On Lab to experience how the integration of Microsoft M365 Copilot and Snowflake Cortex Agents simplifies AI-powered data interactions. Both technical and business users can interact with their structured and unstructured data using natural language. Direct access to Cortex Agents from Microsoft M365 Copilot makes it possible to combine powerful generative AI data agents with secure data in Snowflake, democratizing data insights and unlocking endless business efficiencies for every organization.

“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.
What You’ll Learn & Explore
How to navigate Snowsight, the Snowflake user interface, and other connection options.
Insights into data ingestion and transformation in Snowflake.
How to work with different data types in Snowflake including semi-structured and unstructured data.
Setting up virtual warehouses and getting started with good financial governance.
Basic data governance and security concepts.
Access data from data sharing and the Snowflake Marketplace.
Creating and sharing data analysis.”

In this hands-on lab tailored for data governors, data stewards and data teams, you’ll learn about the core capabilities of Snowflake Horizon Catalog. Our experts will walk you through how to govern and discover data, apps and more across different sources and formats in Snowflake Horizon through a unified set of capabilities. We’ll cover:

Classifying, tagging and applying granular policies to sensitive data
Monitoring data quality and visualizing lineage
Applying data privacy features
Discovering and securely sharing content

Join us for an instructor-led virtual hands-on lab to test drive Snowpark for Python. This session will be delivered live by our local team based in APAC. Many data engineers maintain, secure and pay for separate infrastructure and services in order to accommodate different tools and languages—it’s a lot to juggle. With Snowflake, data engineers can use Python, SQL, Java, and Scala and access best-in-class tools, all in one platform.

In a world of generative AI and rapid transformation, the most successful data professionals are those who can connect their work to business value. This session moves beyond the how of data and AI to focus on the why. Join Snowflake’s Value Engineering team for a 60-minute workshop where you’ll learn the framework to justify, measure, and deliver on your data investments. You’ll leave with a simple, powerful workbook to build your own business case, helping you champion your best ideas and measure what truly matters.

Join this session and build a comprehensive conversational AI/BI solution using Snowflake Cortex and AWS Quick Suite. See how the Better Together approach enables comprehensive structured and unstructured data analysis, and the creation of secure, data-driven GenAI solutions. Enable multi-turn conversations that provide contextual, intelligent responses.

In this hands-on lab tailored for data governors, data stewards and data teams, you’ll learn about the core capabilities of Snowflake Horizon Catalog. Our experts will walk you through how to govern and discover data, apps and more across different sources and formats in Snowflake Horizon through a unified set of capabilities. We’ll cover:

Classifying, tagging and applying granular policies to sensitive data
Monitoring data quality and visualizing lineage
Applying data privacy features
Discovering and securely sharing content