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.

Learn how to accelerate AI deployment by combining AWS and Snowflake technologies through Amazon Bedrock and Snowflake Cortex AI. Discover practical approaches to transform your enterprise data into production-ready GenAI applications while leveraging foundation models from Anthropic and others.

A sharing session with Grab:

Rethink how you build open, connected, and governed data lakehouses: integrate any Iceberg REST compatible catalog to Snowflake to securely read from and write to any Iceberg table with Catalog Linked Databases. Unlock insights and AI from semi-structured data with support for VARIANT data types. And enjoy enterprise-grade security with Snowflake’s managed service for Apache Polaris™, Snowflake Open Catalog.

Discover how to build and deploy a no-code, agentic AI platform with Snowflake Intelligence. See how organizations 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.

As customer expectations rise and data volumes explode, the next wave of growth will be defined by AI Experiences (AX), secure, personal, and infinitely scalable interactions that go beyond today’s digital experiences.

In this session, ADA’s Chief Commercial Officer Siva Ganeshanandan will unpack how enterprises can build AI Experiences on a strong foundation of data and AI, powered by Snowflake and ADA’s composable Customer Data Platform. We’ll explore real-world examples across BFSI, retail, and automotive where AI-powered personalization, identity and trust, and intelligent agents have already delivered measurable ROI: from higher conversion and loyalty to reduced cost and fraud.

You’ll walk away with:
– A practical framework for moving from pilots to production in 90 days.
– Insights into how CIOs, CTOs, and CMOs can partner to unlock ROI from AI.
– A glimpse into how ASEAN can lead as a hub for AI-driven commerce.

This is where proof beats promise, showing how enterprises today can design, build, and scale trusted AI Experiences that drive real outcomes.

The journey to building a data-driven enterprise begins with a strong foundation. This panel discussion brings in leaders from Data and AI space who have been-there-done-that who will share best practices, critical components of a modern data and AI infrastructure, common pitfalls to avoid while architecting for scale and the recipe to creating the next billion-dollar startup.

Join this session to learn how organizations can start right and build a futureproof data & AI strategy. Discover why it is important build a flexible and scalable data stack that can adapt to changing market dynamics. The conversation will extend to integrating AI and machine learning to create intelligent applications and establishing the cultural and procedural elements necessary for effective data utilization. This panel is designed to equip attendees with the strategic knowledge required to construct a durable and innovative data foundation that will underpin their company’s future success.

Data clean rooms are quickly evolving beyond privacy-preserving collaboration environments into powerful engines for AI- and ML-driven insights. In this session, we will explore the technical architecture and product capabilities that enable clean rooms to support advanced use cases. We’ll also walk through the full lifecycle of data products—from the creation of packaged, consumable data assets to their distribution through Snowflake’s internal marketplace.

While grounded in energy and commodities expertise, this session explores data engineering and transformation practices relevant to financial services and a wide range of industries. Learn how to build scalable, AI-ready data pipelines, and take away practical approaches to harnessing reliable, high-quality data for smarter decision-making.

In the era of accelerated digital transformation, the U.S. public sector stands at the crossroads of unprecedented opportunity and significant responsibility. Aligning with critical administrative priorities — such as enhancing citizen experience, improving cybersecurity posture and increasing government efficiency — requires practical, innovative solutions. Join us to explore how Snowflake’s AI Data Cloud for Government & Education enables AI-driven analytics and data collaboration to deliver measurable impact on mission-critical operations. Showcasing real-world public sector use case demos, we will highlight how leading government and educational organizations can leverage AI to drive data-informed decision-making, automate processes and fundamentally transform public service delivery.

Join this hands-on workshop to discover how Snowflake and Amazon Web Services seamlessly integrate to democratize AI for data professionals and business users alike. You’ll learn to build a complete AI solution with Snowflake Cortex agent and Amazon Q that orchestrates across both structured and unstructured data sources to deliver insights, and empowers natural language data querying—all while accelerating decision-making across your organization.

Perfect for: Data engineers, analysts, marketing professionals, and business stakeholders looking to harness AI without complex coding requirements.

Take away: A complete understanding of how to deploy production-ready AI solutions that bridge the gap between technical capabilities and business value, making advanced analytics accessible to every team member.

Migrating a legacy data warehouse to Snowflake should be a predictable task. However, after participating in numerous projects, common failure patterns have emerged. In this session, we’ll explore typical pitfalls when moving to the Snowflake AI Data Cloud and offer recommendations for avoiding them. We’ll cover mistakes at every stage of the process, from technical details to end-user involvement and everything in between — code conversion (using SnowConvert!), data migration, deployment, optimization, testing and project management.

Learn how to streamline governance and security for data and AI with Snowflake’s latest updates to Horizon Catalog. Join us for new product overviews and live demos covering interoperability, Trust Center, MFA updates, Copilot for Horizon Catalog, sensitive data, data quality, lineage, and more.

Learn how to efficiently run analytics over unstructured data, geospatial data and other advanced formats with Snowflake’s latest SQL functions. Join us for new product and feature overviews, best practices and live demos.

In this session, learn more about Snowflake’s end-to-end ML platform and how it supports creating production-scale deployments and operationalization 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.

In the rapidly evolving AI landscape, the critical question for any enterprise isn’t just if they should modernize their data platform, but how they can design it to transform uncertainty into a competitive advantage. This session will explore Ericsson’s journey to Snowflake, focusing on how we built a data platform that is both flexible and resilient enough to navigate an unpredictable future. As a technology leader in the communications sector, we know that our people are our most valuable asset. That’s why our story isn’t just about technology; it’s also about people. We will delve into the change management strategies, upskilling initiatives, and cultural shifts we implemented to prepare our teams for a future that is yet to be unveiled.

The retail and consumer goods industries are undergoing significant transformation, driven by shifting consumer behaviors, global economic changes, supply chain disruptions and, most importantly, rapid technological innovation. This session is designed for business and technology leaders in RCG, offering them insights and strategies needed to navigate and thrive in this evolving landscape. Learn from the transformational experience of the leading global consumer goods company, Snowflake industry experts and key partners as they explore how data and AI technologies are shaping the industries’ future.

Cortex Analyst is a fully managed service in Cortex AI that provides a conversational interface to interact with structured data in Snowflake. It streamlines the development of intuitive, self-service analytics applications for business users, while providing industry-leading accuracy. To deliver high text-to-SQL accuracy, Cortex Analyst uses an agentic AI setup powered by state-of-the-art LLMs. Available as a convenient REST API, Cortex Analyst can seamlessly integrate into any application. This empowers developers to customize how and where business users interact with results, while still benefiting from Snowflake’s integrated security and governance features, including role-based access controls (RBAC), to protect valuable data.

What you will learn:
– How to construct and configure a Semantic Model for your data
– How to call the Cortex Analyst REST API to use your Semantic Model to enable natural-language question-asking on top of your structured data in Snowflake via Streamlit in Snowflake (SiS) application
– How to integrate Cortex Analyst with Cortex Search to enhance SQL queries generated
– How to enable Join support for Star Schemas
– How to enable multi-turn conversations

The Financial Services industry in ASEAN is at a turning point, driven by three forces: the push for productivity at scale, the demand for seamless data experiences, and the race to unlock intelligence and alpha from data.

At Snowflake World Tour Singapore, the dedicated FSI track will showcase how the Data + AI revolution is reshaping the industry—bringing together leading banks, insurers, and asset managers to share real-world examples.

We’ll open with a vision of the Future of FSI—how institutions can evolve from siloed, compliance-heavy operations to data-driven, AI-enabled organisations built on three pillars: Productivity, Experience, and Intelligence.

Productivity – Reinventing the Core: Nomura shares how data modernisation and AI automation cut cost drag and drive smarter, governed operations.

Experience – The Next Era of Engagement: Live demo and customer stories to show how Snowflake elevates customer experience.

The Financial Services industry in ASEAN is at a turning point, driven by three forces: the push for productivity at scale, the demand for seamless data experiences, and the race to unlock intelligence and alpha from data. 

At Snowflake World Tour Singapore, the dedicated FSI track will showcase how the Data + AI revolution is reshaping the industry—bringing together leading banks, insurers, and asset managers to share real-world examples 

We’ll open with a vision of the Future of FSI—how institutions can evolve from siloed, compliance-heavy operations to data-driven, AI-enabled organisations built on three pillars: Productivity, Experience, and Intelligence.

Productivity – Reinventing the Core: Nomura shares how data modernisation and AI automation cut cost drag and drive smarter, governed operations.

Experience – The Next Era of Engagement: Live demo and customer stories to show how Snowflake elevates customer experience.

Intelligence – From Data to Alpha: S&P, Temasek, and QuantDesigned reveal how data providers, quant service providers, and sovereign funds are all collaborating on Snowflake to drive quant research, AI and alpha at scale.