9:00 AM PDT - Monday, Jun 1
Training // Track 1 - Snowflake GenAI Essentials Training, TC1
Spend the day learning how to turn your data into intelligent, AI-powered results with gen AI on Snowflake. Build, prompt and deploy real generative AI solutions to deliver measurable impact, all in a secure, scalable, environment.
Training // Track 2 - Snowflake Accelerator Training, TC2
Jumpstart your platform skills with this one-day Summit course for early to intermediate users. We'll move beyond theory with a hands-on exploration of curated, key features, from core tools to new AI. You'll leave with practical skills from Snowflake experts to solve complex problems and immediately unlock more value.
Training // Track 3 - Snowflake Platform Training + Exam - Monday, TC3-M
This session is designed for individuals with limited experience using Snowflake and provides a walkthrough of the AI Data Cloud architecture through interactive labs, guiding learners how to unify, integrate and share previously siloed data with virtually unlimited scalability and concurrency.
12:00 PM PDT - Monday, Jun 1
User Group Meetup: US / Austin, DH1
Join us at the AI Pop Up for the Austin User Group Meetup! Whether you’re a longtime member or joining for the first time, this is your chance to connect with fellow Snowflake enthusiasts from the Austin area. Share what you’re building, swap tips on getting the most out of Snowflake and meet the people behind your local community. Walk away with new connections and inspiration to bring back to your team.
1:00 PM PDT - Monday, Jun 1
Accelerating AI Readiness: Data to Real-Time Answers with Snowflake CoWork, DE234
This session shows how Daimler Truck North America accelerated AI readiness in manufacturing by placing Snowflake CoWork at the center of their data platform. They ingest real-time data from enterprise and mainframe systems using Snowpipe Streaming and Kafka to enable low-latency operational visibility. Pipelines are orchestrated with dbt, with Dynamic Tables automating CDC and delivering near real-time datasets. As streaming scaled, they applied Dynamic Table best practices and Gen2 warehouses to control costs. We conclude by demonstrating how Snowflake CoWork, powered by semantic models and Cortex Analyst, enables teams to ask real-time operational questions to move beyond dashboards.
Agent Monday: Automated, Personalized Shopper Insights at Scale, PO204
What if every stakeholder received curated, actionable shopper insights — automatically? Meet Agent Monday, an AI-powered agent that synthesizes behavioral data and delivers tailored insights directly to inboxes. Explore the architecture, personalization logic and governance guardrails that turn raw retail data into decision-ready intelligence at scale.
Automated Data Classification and Pseudonymization for Securely Sharing Data, GO225
Struggling with manual data governance? Learn how to build an enterprise-grade data pseudonymization framework leveraging Snowflake native capabilities. Join Snowflake Data Superhero Chris Hastie as he demonstrates automated data classification and tag-based dynamic data masking for policy-driven protection and secure sharing of pseudonymized data. Walk away with production-ready patterns for automated PII detection across your estate, reusable masking policies that adapt to tag values and real-time secure sharing with context-aware access control. Transform weeks of manual work into automated, scalable solutions that maintain analytical utility while ensuring privacy compliance.
Build an Iceberg Lakehouse with Snowflake and Microsoft Fabric OneLake, AR108
As data volumes increase and AI workloads proliferate, copying and ETL-ing data across systems is no longer sustainable. This hands-on workshop walks through building a fully interoperable, open lakehouse by integrating Snowflake and Microsoft OneLake. Learn how to leverage Apache Iceberg™ to create an open, governed data foundation that allows both Snowflake and Microsoft Fabric engines to operate on the same datasets without data duplication or complex pipelines. You will use sample data in Fabric, create an external volume and set up Microsoft OneLake as a catalog-linked database in Snowflake, create Iceberg tables in OneLake and query them both from Snowflake and Fabric.
Build Supportable Data Pipelines with AI in Coalesce, DE112
This hands-on lab shows you how to build powerful data pipelines in Coalesce using AI. Learn how Coalesce unlocks Snowflake by combining standardized components with rapid, AI-generated code. You’ll explore the interface, use natural language to transform and model data, and practice generating, building, reviewing and refining pipelines. Along the way, you’ll gain confidence reading and supporting your pipelines while experimenting with rich column-level metadata, all in a workflow designed for data engineers.
Cortex AI Functions: Unstructured Data in Manufacturing and Customer Analytics, AI221
Unlock the power of your unstructured data by turning manual bottlenecks into high-speed engines for growth. In this session, we explore how Snowflake Cortex AI revolutionized two critical workflows: manufacturing verification and customer sentiment analysis. By leveraging Cortex AI Functions and Streamlit, we slashed document verification times from 340 minutes to just 10 (a 97% reduction) and accelerated feedback parsing by 90%. Join us to learn how to transform complex PDFs and subjective comments into objective, AI-ready assets that drive faster, more strategic decision-making.
From Data Sharing to Data Products: A Governed Marketplace in the AI Data Cloud, DM301
As enterprises shift from ad hoc data sharing to reusable data products, data governance becomes vital. This session explores how Infosys enables a governed, data product marketplace on the Snowflake AI Data Cloud, embedding AI and responsible AI principles across data, models and consumption. Learn how standardized policies, automated guardrails and lifecycle governance ensure trust and compliance. Discover how organizations scale data sharing securely and unlock greater value through AI-driven use cases.
Future-Ready by Design: Boston Scientific’s Self-Service D&A Op Model, BI110
In medical devices, product parity is the norm. Competitive advantage comes from how fast you turn data into decisions. In this session, learn how phData and Boston Scientific partnered to transform the company's cardiology division by building a self-service data and analytics operating model with Snowflake at the center, turning a fragile IT relationship into a true business-IT fusion team that shifted data product ownership directly to the business. The result: Thousands of users now have trusted, timely insights built on a durable, scalable op model ready for AI.
How Enact Mortgage Insurance Ensures Audit- and AI-Ready Data in Snowflake, DE208
As a regulated insurer, Enact Mortgage Insurance relies on Snowflake for analytics, regulatory reporting and AI strategy. To ensure trusted, AI-ready data, Enact built a governance program combining data quality and observability to monitor pipelines, enforce standards and surface issues before impacting downstream outcomes. In this session, Enact will share how they scaled this model across datasets and lessons for regulated organizations operationalizing governance in Snowflake. Jessie Smith, VP of Data Quality, will demonstrate how Ataccama’s data trust platform with Snowflake enables audit-ready, AI-ready data and how MCP allows agents to securely access governed data.
How Siemens SI and Accenture Enabled the Power of Conversational BI with Cortex, AI281
Traditional dashboards are great for answering known questions, but what happens when you need to explore the unknown? Join us as we explore how Conversational BI, powered by Snowflake Cortex, is transforming financial data analysis. Besides showcasing our methodological and technical approach, we'll discuss how structured AI provides "finance-grade truth" from governed data, empowering business users to directly query complex datasets in natural language and uncover insights that static dashboards miss. On top of that, we will be sharing how we're reaching the next level of our implementation by using Cortex Agents.
How Snowflake Built AI Agents to Transform Finance Operations, AI276
Snowflake’s Finance Technology team has reimagined finance operations — not as reports and dashboards, but as AI agents that understand, decide and act. Built and running on Snowflake, these production systems automate revenue reconciliation, orchestrate month-end close and deliver real-time financial intelligence at scale. In this session, we unpack the architectures, tools and multi-agent patterns behind these systems — from ITAC controls to accrual workflows — and show how you can bring the same approach to your own finance organization.
How SPS Commerce Scaled a Multimillion-Dollar Analytics Business with Sigma, BI213
SPS Commerce is reinventing its embedded analytics platform, SPS Analytics, by replacing legacy BI with Sigma on Snowflake. The platform helps retailers and partners unify sell-through, inventory and supplier data to improve forecasting, optimize inventory and drive stronger outcomes across the retail ecosystem. In this session, Troy Prothero, Senior Director of Product Management at SPS Commerce, shares why SPS replatformed its analytics platform and how Sigma enables collaborative workflows with writeback capabilities that allow users to refine operational data in Snowflake. Learn how this foundation is preparing SPS Commerce for the next generation of AI-powered applications.
How to Evaluate Snowflake Gen2 Safely in Production and the Outcomes at Scale, PO215
Upgrading core infrastructure requires rigor. This session outlines a controlled framework for evaluating Snowflake Gen2 in live production environments — covering A/B validation, workload benchmarking and risk mitigation. Hear measurable outcomes and lessons learned from enterprise-scale deployment.
Preventing the Snowball Effect: Morgan Stanley’s 10 Principles for Scale FinOps, PO104
Unchecked consumption can quietly compound into runaway spend. Morgan Stanley shares 10 guiding principles that prevent cost snowballing while enabling innovation. Learn how governance guardrails, real-time monitoring and cross-functional accountability create sustainable cloud economics at enterprise scale.
The CEO's Case for Snowflake-Native AI Apps, E4
AI agents are rewriting how work gets done, handing individuals a democratized path to productivity while running 24/7 across centralized enterprise data, watching for changes and taking action that genuinely accelerates the business. But the same qualities that make agents powerful also make them dangerous: they need auditing and permissions like the people they replace, answer to humans who require governing, and coordinate with other agents and shifting data at a scale our controls were never built for. Mike Palmer, Sigma's CEO, makes the case for a governed control plane between Snowflake and every AI app.
This session is being conducted under Chatham House Rules. To foster an open and candid discussion, participants are expected to treat all information shared during the session as confidential. Information, comments, viewpoints, and materials discussed may not be referenced, disclosed, attributed, distributed, or shared outside of this session without the express permission of the organizers and participants.
The Infrastructure Behind Grindr’s AI Transformation, ML203
Grindr serves 15 million monthly active users across matching, insights, recommendations and safety — all powered by AI. Getting there required one key infrastructure decision: computing features at inference time, not in advance. In this session, Grindr's CPO, AJ Balance, and Chalk's CEO, Marc Freed-Finnegan, break down the Snowflake and Chalk stack that’s powering Grindr’s AI (aka gAI pronounced “gay-eye”) and what it means to ship real AI products at consumer scale for a global community of tens of millions.
Zero to Agentic Analytics: Activate Snowflake Data with ThoughtSpot Agents, AI280
Modern analytics shouldn’t require stitching together models, dashboards and code. In this hands-on lab, you’ll build an end-to-end analytics workflow on Snowflake using ThoughtSpot’s AI agents. Starting with live Snowflake data, you’ll create governed semantic models, auto-generate Liveboards, explore data with natural language and embed analytics into applications — each step powered by a specialized agent. Designed for data engineers, analysts and developers, this lab replaces manual workflows with an automated, agent-driven approach. You’ll leave with a working, repeatable pattern to operationalize AI-powered analytics directly on Snowflake.
Agentic Data Engineering at Sophos: Moving from Pilot to Production with Maia, DE303
95% of AI pilots never reach production. Sophos, a billion-dollar cybersecurity company facing a large Informatica migration and growing pipeline backlog, did it in under a year using Maia. In this session, Enterprise Data Architect Jason Mulvin shares how his team navigated real enterprise challenges: legal and AI governance, bridging ETL gaps and adapting dev standards for agentic tooling. The result: pipelines generated in minutes and a multi-year backlog becoming manageable — without adding headcount. What could your team achieve by next Summit?
Designing a Low-Latency Warehouse for 1.5M Daily Queries, PO209
Serving 1.5 million daily queries demands architectural precision. This session breaks down workload isolation, clustering strategy, caching optimization and data modeling patterns used to achieve consistently low latency at scale. Learn the trade-offs and engineering decisions that enabled sub-second performance under heavy concurrency.
Driving Innovation via Digital Supply Networks in a Clinical Supply Chain, IN118
Clinical trial supply chains are reaching their limits under growing complexity, fragmented data and reactive operating models. This session introduces the Digital Supply Network (DSN). DSN represents a shift from linear supply chains to a real-time, interconnected system that senses, predicts and responds to change. Powered by AI agents across demand, supply, logistics and compliance, the DSN enables proactive decision-making, continuous optimization and exception-based human oversight. The result is a more resilient, efficient and patient-focused supply model, ensuring the right medication reaches the right patient at the right time.
Enforcing Data Governance at the Orchestration Layer, GO202
Financial institutions don't struggle with governance frameworks. They struggle with enforceability. When regulators ask how an AI decision was produced, most teams cannot prove which data ran, which controls were applied or who approved exceptions. Governance on paper is not governance at runtime. This session shows how leading institutions use orchestration to codify policy, enforce controls, capture audit trails and gate high-risk decisions before they reach agents. We'll ground this in real-world patterns from financial institutions using Airflow and Astro to bring governance and control to their most complex data pipelines.
Executive Industry Summit Tour — Marketing, E20
Join an exclusive, guided tour of the Snowflake AI Data Cloud and its premier partner ecosystem, tailored for marketing leaders.
From Data to Outcomes: How Ecolab Uses Snowflake ML to Deliver Customer Value, ML225
Imagine every customer location performing at its best — every shift, every day. In this session, hear how Ecolab turned raw operational data into ML models that show exactly what each site needs to reach peak performance. We'll take you inside the journey: where the spark began, how teams pushed through complexity to find signal in the noise, and the moment explainable AI began revealing actionable growth opportunities hiding in plain sight. See how predictive modeling, fast iteration and a shared obsession with customer outcomes translated into stronger relationships, measurable revenue gains and a new blueprint for AI-driven value creation.
How Fanatics Manages dbt Metrics with Snowflake CoCo for Natural Language Analytics, BI231
In this session, Christine Kwon, Senior Director of Data at Fanatics, and Brett Pendleton, Manager of Analytics Engineering at Fanatics, share how they used dbt to define and govern Fanatics’ metric source of truth using scalable, metadata-driven models (YAML-based definitions, testing and documentation). They will walk through how those curated models power Snowflake semantic views and Snowflake CoWork, enabling business users to ask trusted, governed questions in natural language.
How LendingTree Marketers Built a Snowflake Agent for Smarter SEM Decisions, AI208
Marketing teams waste hours digging through campaign data to find actionable insights. See how LendingTree, with the help of BlueCloud, transformed its search engine marketing with an AI agent that instantly surfaces performance trends, identifies optimization opportunities and recommends high-impact actions — cutting analysis time dramatically. A LendingTree marketer will demonstrate how the team built an intelligent assistant connecting Google Ads performance with customer data, enabling faster, data-driven decisions without waiting on analysts. Learn how this AI-powered approach is driving measurable campaign ROI improvements and freeing marketers to focus on strategy rather than spreadsheets.
How Progressive Leasing Keeps Data on Time Across Hundreds of Pipelines, DE221
Progressive Leasing is one of the largest lease-to-own providers in the U.S., powering flexible purchase options for millions of customers across thousands of retail partners. Behind that experience are hundreds of pipelines with cross-domain dependencies tying product, risk, payments and compliance data together. Reliable, on-time data isn't a nice-to-have; it's how the business runs. In this session, you'll see how Progressive Leasing built a data operations center on top of Snowflake. Expect a concrete look at the operational lessons from rolling this out across a multi-platform stack, plus where the AI-agent road map goes from here.
Meet a Data Superhero: AI in Production — What's Actually Working, DH2
Join us at the AI Pop Up to meet our Data Superheroes and talk about what’s actually working in production AI. This is an open, informal session — no presentations, just real conversation. Ask questions, share your own experiences and connect with practitioners who’ve deployed AI solutions on Snowflake. Come curious, leave inspired.
Modernizing Data Security: How Ally Financial Scaled Native Classification, GO103
Discover how Ally Financial modernized data security by migrating from third-party solutions to Snowflake Horizon Catalog's native data classification capabilities. In this session, we’ll share our journey to scaling classification across the enterprise, enhancing data protection and compliance. Learn about the challenges faced, key implementation strategies and measurable improvements in security management. Gain practical insights to help your organization streamline and strengthen data security using Snowflake’s native tools.
Powering End-to-End Customer Intelligence at Scale: AutoNation’s Data Journey, DE211
Learn how AutoNation manages a digital presence spanning over 300 locations, dozens of brands and strict data governance requirements — ensuring every data point is clean, consistent and trusted before it powers a decision. Using Tealium and Snowflake, AutoNation captures real-time behavioral signals across the entire customer journey, connecting digital, CRM, operations and parts data into a unified source of truth. The result is a modern intelligence hub that powers dashboards, AI use cases, personalization, forecasting and predictive insights. Join Tealium and AutoNation to see how they built a real-time data foundation that drives smarter, faster decisions across the business.
Self-Healing Semantic Layers with Snowflake Cortex AI: How Sigma Built J.A.K.E., AI308
Sigma's data platform team built J.A.K.E., a production-grade agent powered by Cortex AI that integrates directly into Slack and Sigma, letting teams interact with Snowflake in their everyday work environment. This session showcases a self-healing reference architecture that actively maintains dbt metadata and dimensional business matrices. By converting modeling frameworks into machine-executable logic, J.A.K.E. automatically generates Snowflake semantic views, eliminating weeks of manual effort. Attendees will see live AgenticOps examples: using Cortex AI to capture query failures, debug root causes in real time and automatically patch semantic definitions to create a continuous learning loop.
The Art of Data Relationship Chemistry for Global Financial Services, BI233
Global financial services firms operate where regulation, capital and trust collide. For private equity and their investors, unlocking tax value depends on understanding relationships across entities, partners, deals and jurisdictions — yet the data is often trapped in spreadsheets. In this session, we explore how a PE-backed global firm is rebuilding its tax data foundation on Snowflake, turning fragmented records into a connected, insight-driven platform that unlocks transparency, allows risk analysis to drive decisions and cuts review hours in half.
Zero-Copy, Bidirectional Integrations: SAP, Salesforce, Workday and Beyond, DE219
Traditional integrations require costly data replication and create operational lag. In this session, we will demonstrate how Snowflake Zero-Copy, Bidirectional Integration can archive near real-time connectivity between Snowflake and enterprise applications without data movement. We will showcase implementations with Salesforce, Workday and more to explore how we maintain data consistency across systems.
Sovereign AI: Building Resilient Data Foundations in EMEA, E13
The world is more fragmented yet interconnected than ever. As governments and organizations shorten supply chains and prioritize domestic control, the mandate for "strategic leverage" has reached the boardroom. This session explores how the Snowflake AI Data Cloud supports these goals through Snowflake Horizon, our unified governance and compliance suite. We discuss how building on open standards such as Apache Iceberg ensures autonomy without technology lock-in, and how a secure data foundation is the vital precursor to semantic AI, in a sovereign and compliant way. Join us to learn how to train and deploy "sovereign by design" models that meet the rigorous expectations of the UK and EU.
This session is being conducted under Chatham House Rules. To foster an open and candid discussion, participants are expected to treat all information shared during the session as confidential. Information, comments, viewpoints, and materials discussed may not be referenced, disclosed, attributed, distributed, or shared outside of this session without the express permission of the organizers and participants.
2:00 PM PDT - Monday, Jun 1
AI Has Eaten BI: What Comes Next?, BI108
Chat interfaces and coding agents are quickly becoming the primary way people consume analytics inside organizations. The new world lowers the barrier to access and shortens the path from question to insight. But what does this mean for how data teams operate? Data leaders share how they’re adapting, how teams across the business are using AI to get answers, how data leaders build trust in AI over time, and what iterative feedback and tuning look like when AI becomes the front door to your data. AI may be the new interface, but dashboards, models and even Excel still matter. The challenge is connecting these foundations to AI without losing trust.
AI-Powered FinOps Transformation at Ally Financial, PO101
Ally Financial revolutionized its financial operations (FinOps) strategy by integrating advanced AI capabilities through Snowflake CoWork and Cortex Analyst. This session details how the company moved beyond traditional cost management to implement a proactive, AI-driven optimization framework within the Snowflake platform. We will showcase specific use cases and methodologies where Snowflake Cortex AI Analyst provided actionable insights, leading to improved resource utilization and significant cost savings. Attendees will learn how to leverage these native Snowflake AI features to modernize their own FinOps practices and drive better business outcomes.
AI-Powered Modernization: Oregon's Multnomah County Leverages SnowConvert AI, MI201
Public sector organizations are under pressure to modernize legacy systems, control costs and deliver better services for their communities. Multnomah County — home to Portland, Oregon — faced these same challenges as it sought to move away from expensive, aging SQL Server infrastructure. Together with Snowflake, the county leveraged SnowConvert AI to accelerate code conversion and migration, transforming its data operations onto the Snowflake Data Cloud. Join us to hear how this partnership reduced costs, improved scalability and positioned the county to deliver smarter, data-driven services to citizens through Snowflake CoWork.
Building a Trusted AI Data Foundation with Salesforce and Snowflake, AI105
Discover how the strategic partnership between Salesforce and Snowflake creates a unified architecture to unlock the full potential of the agentic enterprise. Attendees will learn how current integrations across Tableau, Data 360 and Agentforce enable humans and agents to drive success together.
Deploying Geospatial Solutions via Natural Language with Snowflake CoCo, BI215
This session demonstrates how to transform natural language requests into deployment-ready geospatial applications using Snowflake CoCo. You will learn how to parameterize solution templates and extend logic to support organization-specific KPIs. Discover how Snowflake enables businesses to optimize delivery routes, increase fleet utilization, and reduce both idle time and operational costs. Attendees will gain practical knowledge on using Snowflake CoCo to deploy and customize geospatial solutions within the Snowflake native stack. All session materials, including code and templates, will be made publicly available for immediate use.
ExxonMobil's Enterprise Data Transformation with Marketplace Capacity Drawdown, DM112
Discover how ExxonMobil transformed its data landscape from 7,000 fragmented data products scattered across 20 legacy platforms into a single, enterprisewide central data hub. Learn how it leveraged the Snowflake Marketplace Capacity Drawdown (MCD) program to consolidate 350 governed data products powering more than 250 use cases while providing flexible payment options across multiple lines of business. This session covers practical strategies for large-scale data modernization, including managing complex budget structures across business units, derisking multiyear platform investments and using MCD to accelerate partner tool adoption.
Govern the Data Powering AI with Cyera and Snowflake, GO102
Enterprises are investing heavily in AI, but many initiatives stall before production — not due to models or compute, but because of fragmented data, poor visibility and weak access controls that undermine trust and compliance. Snowflake accelerates AI by centralizing data and enabling scalable access, but this speed increases risk as sensitive data proliferates across environments. Cyera addresses this gap as an AI-native data security control plane, providing full visibility, automated classification, risk prioritization and policy enforcement across Snowflake ecosystems — enabling organizations to scale AI with trusted, governed and secure data.
How Axios Delivers Trusted Data and AI for a Newsroom, AI242
From AI-enabled content features to terabytes of engagement data, proactive data quality management is business critical at Axios, a leading U.S. news organization with more than 6 million active email subscribers. In this session, Kellyanne Smith, Director of Data Engineering at Axios, shares how Snowflake and Monte Carlo have enabled dozens of successful LLM automations at scale through agent observability, and why a robust observability strategy is essential to any organization looking to incorporate AI and actionable insights into its business processes.
How Emirates Airlines Achieved 60% Faster Spark Workloads with Snowpark Connect, MI209
This session explores how Emirates Airlines improved their Dataiku efficiency by migrating Dataiku-managed Apache Spark workloads to Snowflake using Snowpark Connect. You will learn how Emirates addressed the scaling challenges of traditional Spark environments — such as high operational complexity, performance bottlenecks and infrastructure maintenance — to achieve 60% faster performance for large-scale workloads.
Indeed’s Playbook: Auto-Scaling APIs, Lower TCO and Fast Queries on Snowflake, BI303
Employer analytics is hard, with low-latency, high-concurrency customer APIs plus compute-heavy batch refreshes of aggregates — without an infrastructure empire. This talk shares how Indeed's Employer Analytics group moved from self-managed Vertica to Snowflake Virtual Warehouses for all data access. Warehouses let our APIs auto-scale with traffic, delete years of ops scaffolding, free engineers for product work and cut TCO with lower compute costs (projected ~$2M/year savings). We'll also cover Interactive tables and Interactive warehouses, improving p95 latency ~30% and laying a foundation for next-gen agentic analytics.
Messy Pipelines Are Expensive: A Hygiene Framework for Cutting Snowflake Waste, DE210
dbt’s dependency graphs make building and scaling data pipelines easier than ever, but hidden inefficiencies can quietly drive up costs. Redundant pipelines, oversized warehouses, forgotten workloads and slow queries can add up to serious Snowflake waste. In this session, you will learn a practical hygiene framework to identify and fix inefficiencies across your pipelines. We’ll also show you how autonomous agents can make this a continuous process, turning cleanup from a one-time chore into an ongoing advantage.
Regional Data Moves at Scale: Solving Data Locality Without Breaking Analytics, GO208
As global SaaS platforms scale, data locality and regional compliance become continuous operational requirements. Customer data must move across regions safely and predictably, while analytics pipelines remain consistent and trustworthy. In this session, we share how Zendesk designed a Snowflake-native approach for cross-regional account moves by aligning operational cutovers with explicit UTC day boundaries. By introducing a preemptive data-processing lock coordinated with upstream cutover guarantees, downstream layers process only fully closed days. The result is a predictable, low-maintenance pattern for regional data moves at scale.
The Blueprint for Building SCM Intelligence for Perishable Business on Snowflake, AI238
Dominating 70% of the U.S. tofu market, Pulmuone unified more than 20,000 products by migrating fragmented ERP, SCM and WMS data to Snowflake. This session reveals how it achieved a real-time integrated view, syncing production and sales for instant S&OP analysis. By leveraging Snowflake, Pulmuone streamlined the entire supply chain — from manufacturing to CS. With AI-driven demand forecasting and trend analysis, the company reduced SCM costs by about 25%, boosted analyst productivity by 50% and improved forecast accuracy by 20%. Learn how Pulmuone transformed a complex global operation into a lean, data-driven engine, proving that Snowflake is the ultimate ingredient for scalable business growth.