DATA FOR
 BREAKFAST VIRTUAL

AI is moving from experimentation to enterprise-scale execution—and the platform matters.

In this session, discover Snowflake Cortex Code—the intelligent agent built natively into Snowflake that understands your data context, automates end-to-end workflows from ML pipelines to dbt projects, and delivers production-ready code with enterprise security baked in.

Available now in Snowsight and the CLI, Cortex Code empowers teams to move from idea to implementation faster than ever—embedding intelligence directly where governed enterprise data lives.

Through compelling demos and real-world scenarios, see how organizations are accelerating development, automating complex workflows, and unlocking new value across the AI Data Cloud.

The future of data development is agentic—and it’s here today.

In Getting Started with Snowflake Cortex Code for Data Engineers, a Snowflake expert will demonstrate how to build an end-to-end data engineering pipeline using Cortex Code — Snowflake’s state-of-the-art AI coding agent.

See how Cortex Code transforms the way data engineers work by accelerating development time from days to minutes, automating complex tasks, and streamlining pipeline creation directly within Snowflake.

This session focuses on the HOW — giving you a practical walkthrough of building, deploying, and optimizing a modern data pipeline with AI assistance. Join us to experience the future of data engineering in action.

In Getting Started with Snowflake Cortex Code for Developers, a Snowflake expert will showcase how developers can leverage Cortex Code — Snowflake’s advanced AI coding agent — to build faster, smarter, and more efficiently directly within the Snowflake platform.

Discover how Cortex Code helps streamline application development, generate high-quality code, accelerate debugging, and simplify integration with data workflows. By reducing development cycles from days to minutes, developers can focus more on innovation and less on repetitive tasks.

This session focuses on the HOW — providing a practical, end-to-end demonstration of building and enhancing developer workflows with AI assistance. Join us to see how Cortex Code is reshaping the developer experience in the era of AI-powered engineering.

In Getting Started with Snowflake Cortex Code for Data Scientists, a Snowflake expert will demonstrate how to harness Cortex Code — Snowflake’s advanced AI coding agent — to accelerate experimentation, model development, and analytics workflows directly within Snowflake.

See how Cortex Code can help generate and refine feature engineering logic, streamline data preparation, assist with model development, and simplify iterative analysis — all while keeping your data secure and governed in-platform. What once took days of coding and troubleshooting can now be achieved in minutes.

This session focuses on the HOW — providing a practical, end-to-end walkthrough of building and operationalizing data science workflows with AI assistance. Join us to experience how Cortex Code is redefining productivity for modern data scientists.

This Virtual Hands-On Lab is designed for those new to Snowflake Cortex Code. Tailored for roles ranging from IT Managers and Data Architects to Developers, this session will help build your skills and confidence in the AI Data Cloud.

By the end of the session, you will learn how to use Cortex Code to surface insights instantly and discover how data professionals can streamline their development and analysis workflows.

Hear from Snowflake leaders on how to champion your organisation into this next era of enterprise intelligence. See Snowflake in action with live demos.

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

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

As practitioners, we are often evaluated on technical outputs: pipeline stability, query speed, and credit consumption. But the most successful data initiatives are defined by business outcomes. In this session, we explore a “Value Engineering” framework designed to bridge the gap between data teams and business stakeholders. We will look at how to define success metrics before writing code, and how to evaluate technology choices (Vectors) based on their ability to accelerate time-to-value.

Learn how the SAP and Snowflake partnership is fueling advanced analytics and AI/ML on a unified enterprise data foundation—bringing together SAP and non-SAP data in the Snowflake AI Data Cloud with zero-copy, preserving governance, interoperability and semantics. See how SAP Business Data Cloud (BDC) data products can be enriched with enterprise and third-party data in Snowflake to unlock intelligent analytics and enterprise AI at scale.

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

AI is transforming the business landscape, but organizations often face challenges moving from proof-of-concepts to widespread, scalable adoption. Join experts from Accenture and Snowflake as they present a strategic blueprint for leveraging the data cloud to enable AI at scale. This session covers best practices for building a scalable and governed data foundation, operationalizing AI/ML and enterprise transformation, and driving tangible business value by identifying high-impact use cases and measuring ROI. Discover how to fast-track your AI journey and transform your organization with trusted, data-driven insights.

Tired of duplicating data across platforms just to run cross-cloud analytics? In this session, discover how AWS Glue Catalog Federation bridges Snowflake Horizon Catalog with the AWS analytics ecosystem—enabling you to query Iceberg tables managed in Snowflake directly from Amazon Athena, without moving a single byte of data.

What you’ll learn:

– How catalog federation eliminates data duplication and reduces ETL complexity
– Step-by-step walkthrough: connecting AWS Glue Data Catalog to Snowflake Horizon
– Implementing fine-grained access controls with AWS Lake Formation
– Real-world use cases: governed cross-platform analytics and data mesh architectures

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

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 realise tangible value from AI, all while underlining the importance of a robust data foundation. This session will illuminate the critical role of a comprehensive data strategy in achieving success with AI, through practical case studies and insights.

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.

Dive into Snowflake data engineering, we delve into how Snowflake supports Analytics Engineering, Large-Scale Data Processing, and the Open Lakehouse model, enabling clean data modelling, efficient processing of vast datasets, and innovative, scalable architectures. We explore how Snowflake simplifies data engineering by offering features like declarative pipelines for both streaming and batch data, eliminating the need for complex data pipelines through Data Sharing, and allowing coding in multiple languages on a single, optimised 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 discuss how Snowflake’s self-optimising engine not only accelerates performance but also manages costs effectively, making it ideal for future-proofing your data strategy across various data types. This session highlights Snowflake’s comprehensive solution for businesses aiming to scale and innovate with data analytics.

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

Join our upcoming webinar on Snowflake data collaboration and applications, where we’ll 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 monetise 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 optimising costs and compliance with privacy regulations.

Learn to use data engineering frameworks within the Snowflake AI Data Cloud to make your data ready for consumption, transform & deliver your data, and build & maintain pipelines.

Learners will build a complete, AI-powered agent that can understand and act on your data. By utilizing Snowflake’s latest AI SQL functions, Cortex Search/Analyst, and Snowflake Intelligence, learners will develop practical skills to build and deploy end-to-end, AI-powered analytical applications, all within your Snowflake environment.

Learn how to build a continuous, declarative pipelines using only standard SQL with Snowflake Dynamic Tables. Build a multi-stage workflow, from raw data to an analytics-ready fact table, and utilized Snowflake to automatically handle the dependency mapping, scheduling, and data refreshes.

Join us for a deep dive into building governed AI agents in Snowflake. This hands-on lab guides you through transforming raw data into actionable insights using Snowflake Cortex AI for sentiment analysis and classification. You will get hands-on experience with AISQL and Dynamic Tables to automate AI enrichment and construct a reliable semantic layer. Learn the architecture required to create a Marketing & Sales Intelligence Agent that leverages both structured data and enriched unstructured feedback while maintaining enterprise security standards.