9:00 AM PDT - Monday, Jun 3
1:00 PM PDT - Monday, Jun 3
AI Research Visionaries Part 1: Drs. Douwe Kiela and Bryan Catanzaro, AI241
Amidst the torrential rate of AI announcements, it’s hard to focus on the bigger picture. Are open source models the solution to AI centralization of power, or a dangerous precursor to rogue use of AI? Can we imprint ethics into machine superintelligence? What areas of AI research are most promising or concerning for the future? Snowflake proudly presents a panel with three of the world’s most prominent AI researchers and founders: Drs. Douwe Kiela (Contextual AI) and Bryan Catanzaro (Nvidia). The moderator, Dr. Adrien Treuille — former professor at Carnegie Mellon, former CEO of Streamlit, and now Director of AI Product at Snowflake — will guide our exploration into these profoundly important questions, drawing on the vast experiences and insights of our distinguished guests.
Collaboration: A Business Necessity to Accelerate Digital Transformation, CO108
Businesses need a reliable way to share data and apps securely across clouds and regions to accelerate digital transformation across product inventory, quantitative research, consumer and market data, ESG, asset and networking data, monitoring of IoT devices, and more. Today, FTP is no longer fit for purpose. In this session, you'll learn how organizations across industries use Snowflake Marketplace, the Snowflake Native App Framework and Snowpark Container Services to share data and apps with their customers and partners. The session will cover how to discover, evaluate and purchase, as well as list and monetize, data and apps - and how to deploy your app in a container in Snowflake.
Data Mesh and Data Vault on Snowflake with Xero Effort, MD207
Xero has an advanced Data Vault/Data Mesh implementation on Snowflake. Join this session with Xero and Patrick Cuba, one of Snowflake’s experts on Data Vault, to learn how Xero used the context of domain-driven design (DDD) thinking with Data Vault design thinking to map the business architecture to the information domain through agility, automation and auditability.
Delivering Trusted Data in This Era of AI, MD240
We're living in an AI era where data trust is paramount. This session reveals the hidden intricacies behind data mistrust, spotlighting common yet elusive problems that ripple through to impact Snowflake. Discover strategies for proactive detection, notification and pre-emptive resolution to transform days of frustrating investigation into moments of clarity. Join this session to learn how to leverage data observability and an AI co-pilot for precise error identification, ensuring technical and business teams operate in harmony — and to learn how to achieve this synergy cost-effectively to mark a pivotal shift in delivering trusted data. Please note: Theaters are first come, first seated.
Develop a Predictive Model Using Snowflake and Sigma, AI303
Developing a predictive model strategy is critical in today's analytics landscape. See how Snowflake and Sigma can help you easily create predictive models tailored to your business needs, forecast future trends, optimize operations and make data-driven decisions. Learn how to explore data, identify key columns, and uncover insights without performing extensive coding; reduce complexity for a unified programming environment; develop and execute data pipelines, use feature engineering, and access your machine learning models in a single place; and eliminate the need for your end users to possess in-depth data science expertise, making the process more accessible and efficient.
Developing Intelligent Data Apps with Streamlit by Leveraging Azure AI, Azure OpenAI and Snowflake, AD232
Building data applications can be complex, involving vast amounts of data and different sources. But with an integrated data stack, developers can streamline the process from development to deployment in minutes. This hands-on lab will take the attendees on a journey of developing intelligent data apps with Streamlit, Azure AI and Azure OpenAI, and Snowflake. We'll showcase how to build a fully functional app leveraging the power of Microsoft AI technologies and Snowflake's platform capabilities.
Enhancing Motley Fool's ML-Driven Analytics with Striim and Snowpipe Streaming, DE235
This session will explore how Striim for Snowflake has transformed real-time data integration and streaming into a fully managed and automated solution, boosting business agility. Our partnership with Snowflake leverages Snowpipe Streaming, enabling the low-latency loading of streaming data rows. Join to discover how this powerful integration offers Motley Fool's marketing analytics and campaign planning teams a reliable and feature-rich platform for near real-time analytics on click-traffic, event-driven actions and data enrichment — critical for crafting effective ad campaigns. We'll cover how our advanced analytics and machine learning (ML) frameworks facilitate swift, informed decisions with minimal latency, while our continuous learning algorithms ensure that models adapt dynamically, staying aligned with evolving business and data landscapes. Attendees will take away an understanding of how this approach not only enhances performance, but also reduces costs — providing a superior solution for today’s dynamic market needs.
Honeydew Semantic Layer: Enhancing Integration and User Experience with Snowflake Native Apps, AD213
Join us to learn the business advantages of shifting a connected application model to the Snowflake Native App model, and hear how we successfully built Honeydew Semantic Layer. In this session, we will share why we built a Snowflake Native App and how it can seamlessly wrap multiple external services to a coherent user experience. We’ll also touch on aspects such as data ops, caching and AI integration while providing data security and user accessibility. Lastly, we will share lessons applicable to any SaaS that wants to build an app native to Snowflake. Please note: Theaters are first come, first seated.
How Blue Cross Improved Member Health Outcomes with Its Cohort Builder Streamlit App, BI104
Design thinking is a catalyst for superior products, fostering diverse perspectives and expertise to drive innovation and tackle problems. Join this session to learn how Blue Cross North Carolina (BCNC) and Snowflake harnessed design thinking to develop a Cohort Builder application on Streamlit. The application has been rolled out to hundreds of internal stakeholders and aims to provide insights into the organization's member population. Learn how these insights empower BCNC to offer targeted support to enhance health outcomes and bridge crucial care gaps.
How California’s Open Data Connector Uses the Snowflake Native App Framework, CO208
Snowflake has collaborated with the California Department of Technology (CDT) and the California State Water Resources Control Board (SWRCB) to implement the Open Data Connector using the Snowflake Native App Framework. The California Open Data Portal is a hub for making government data publicly available for free. It is implemented using the open source software known as CKAN. Join this session to learn how the State of California is able to share data quickly and easily to collaborate between departments and the public, thanks to the Snowflake Native App Framework.
Optimize Your First-Party Data in Snowflake to Drive Improved Marketing Outcomes , MA112
With the deprecation of third-party cookies, evolving privacy restrictions and the need to accelerate cloud strategies, marketers are challenged to unlock additional value from their data. With TransUnion’s identity framework you can build a single view of your customer across touchpoints and channels — laying the foundation to deliver the performance you need. Session attendees will learn about Data Health Assessments, a Snowflake Native App that helps marketers, publishers and platforms understand the quality and condition of their data, and how they can benefit from TransUnion’s identity solutions. Join us to understand how your data can be quickly improved without the need to send data out from your data cloud. Please note: Theaters are first come, first seated.
Scalable AI and Data Governance with Snowflake and Alation, GP302
Organizations invest in data governance to accelerate their AI journey while complying with regulations such as GDPR, HIPAA and CCPA. However, many struggle to balance scaling AI adoption and mitigating the risks. See firsthand how Snowflake and Alation help customers mitigate compliance risk, increase user productivity, and improve data and AI usage with transparency in the data lifecycle. In this lab you’ll learn how Alation users access and work with data in Snowflake; how to create and manage Snowflake access policies directly from Alation; how to apply governance to data within Snowflake leveraging Snowflake Horizon capabilities; and ways to help users find, understand and trust their data.
Simplify to Upgrade: Best-in-Class Data Products for a Tiered Business Model, BI110
Explore how PrismHR transformed its product by replacing a homegrown data-sharing application with a fully fledged, scalable analytics product using Snowflake and Sigma. Prism's two-pronged solution gives multiple tiers of customers access to pre-vetted data and reports, lets them adapt the reporting, and helps distribute the right insights to different levels of consumers. This tiered business model puts their product up against industry giants, and creates new avenues for revenue generation. Prism will share its roadmap on how other B2B companies can expand market reach through effective tiered provisioning strategies, with a focus on monetizing data in a multi-tenancy ecosystem. Please note: Theaters are first come, first seated.
Snowflake for Data Governance and Generative AI, AI248
In this session we'll explore Snowflake’s generative AI features, data governance capabilities and implementation for various use cases. Join us to discuss Snowflake Cortex machine learning functions and their role to enable the integration of large language models — within Snowflake’s ecosystem — to quickly analyze data and build AI applications. Please note: Theaters are first come, first seated.
AI-Based Observability and Alerting with Snowflake and PagerDuty, DE312
As the Snowflake data team that handles hundreds of data pipelines in Snowflake, we know relying on Slack and email alerts presents limitations and results in overlooked critical notifications. Having to track alerts from various sources highlights the need for a centralized console. Our solution is a Streamlit app for efficient data pipeline management. It visually displays all jobs with real-time status, allowing users to monitor data and make decisions based on displayed information. Join this session to learn how we built it, and how the app can be integrated with PagerDuty, utilizing AI to automatically address new job failures by learning from past failures. Please note: Theaters are first come, first seated.
BlackRock's Security Best Practices for Building Data Applications, AD210
This session will discuss security, networking and identity access management (IAM) around building multi-tenant data applications on Snowflake at BlackRock. It will dive into security, data control and tenants' isolation options for builders looking to develop a secure, multi-tenant application. We will cover secure connectivity, identity access management, data governance capabilities, encryption, data protection, high availability, and auditing and monitoring, including all the new security features. Please note: Theaters are first come, first seated.
Capture Real-Time Analytics in the Data Cloud with a Snowflake Native App, MA106
Digital analytics is a core competency for all consumer brands. Optimizing customer insights and personalization through behavioral analytics is crucial to maintaining a competitive edge. Incumbent analytics tools for marketing teams have various limitations that prevent businesses from realizing the full value of their first-party data in Snowflake. Learn how Snowplow built a Snowflake Native App, available on Snowflake Marketplace, to help organizations build a scalable, governed analytics foundation. We will showcase how real-time Snowpipe Streaming and turnkey visualizations via Streamlit allow teams to realize value quicker than ever and surface deeper customer 360 insights. Please note: Theaters are first come, first seated.
DataRobot + Hometap: Building the Canonical AI Stack in the Era of Gen AI, AI231
In the rapidly evolving landscape of artificial intelligence, the emergence of generative AI technologies presents new challenges and opportunities for businesses aiming to stay at the forefront of innovation. In this session, DataRobot will present a granular look into what you need to confidently build the canonical AI stack for predictive and generative AI. Hometap, a Boston-based fintech company on a mission to make homeownership less stressful and more accessible, will detail how Snowflake and DataRobot integrations are helping build their end-to-end data to AI lifecycle with confidence. Please note: Theaters are first come, first seated.
Empowering CRM with Snowflake and Salesforce: a Gen AI Approach, AI236
Discover how integrating the Snowflake Data Cloud with Salesforce's CRM enhances sales, service and marketing through generative AI. Gain invaluable insights into real-time analytics, predictive insights and strategic decision-making - all seamlessly delivered to employees within their processes and workflows. Delve into case studies and innovative approaches to architecture and grounding, demonstrating how to leverage these technologies to increase employee productivity and customer satisfaction. Learn how to overcome data integration challenges and unlock innovative gen AI applications. Join us at this session to revolutionize your CRM and unlock new potentials with Snowflake and Salesforce.
How Adobe Optimizes Unitary Transactions in Applications with Snowflake, AD201
Adobe Campaign combines cross-channel customer data into a single view for personalized campaigns. The product uses a mix of SQL DB and Snowflake to efficiently power various use cases for marketers. Join this session to learn how we optimized unitary transactions by supplementing Snowflake with a SQL DB and syncing data between the two for a smooth customer experience. In addition, we will share how we optimized Snowflake cost with benchmarking and warehouse tuning.
How Cisco’s Domain-Driven Data and Analytics Powers Business Transformation, BI303
Few organizations run on as large of a scale as Cisco, with its networking, cloud and cybersecurity solutions serving thousands of customers worldwide, including 87% of the Fortune 500. Cisco’s enterprise data and analytics is on a journey to build a data domain-led organization to deliver accurate, timely and governed data for higher levels of customer satisfaction. In this session, Nilesh Kulkarni, VP of Data & Analytics at Cisco, will share his experience building a common Snowflake data service across multiple business units serving enterprise, business line data products, and Cisco acquisitions seamlessly using Snowflake and its ecosystem of tools to improve data quality and reliability.
LendingTree and BlueCloud's Value Path – Migration to Data Science , AI111
In collaboration with BlueCloud, LendingTree has accelerated their Snowflake journey to revolutionize their siloed data infrastructure, increase data accessibility and enhance personalized customer experiences. Join this session to hear LendingTree Chief Product and Technology Officer Scott Totman, and BlueCloud Chief Revenue Officer Bill Tennant delve into how they established a scalable framework for delivering value to both internal and external stakeholders to support machine learning, analytics and gen AI. Discover insights on how LendingTree is leveraging BlueCloud's Borderless team to deliver premium outcomes at cost-effective rates - resulting in faster migration success and greater business growth opportunities.
Optimizing DevOps with Azure, SchemaChange and ServiceNow, DE211
This session will offer an in-depth exploration of a cutting-edge framework designed to elevate Snowflake DevOps practices, with a focus on integration possibilities with Azure DevOps, Schema Change Connector, and ServiceNow. It aims to provide insights into a cohesive strategy that not only streamlines the development and deployment lifecycle of Snowflake, but also ensures compliance with audit requirements through an automated Change Request business approval process. Join us to gain invaluable insights and actionable strategies to propel your Snowflake environment to new heights of efficiency and innovation, and stay ahead in the evolving landscape of optimized Snowflake DevOps practices. Gain invaluable insights and actionable strategies to propel your Snowflake environment to new heights of efficiency and innovation. Stay ahead in the evolving landscape of optimized Snowflake DevOps practices.
Snowflake-Native Experimentation: Ensure Rigor Across Revenue-Driving Decisions, IN102
Experimentation is how generation-defining companies win. But you need a reliable, rigorous system to experiment efficiently, and legacy tools result in slow workflows. Teams have to export raw data and create a shadow data warehouse, then manually compute experiment results. Join this session to see how Eppo solves this problem with a Snowflake native experimentation platform that computes entirely within the Data Cloud. This approach minimizes risk, generates trust and empowers any company to experiment with the sophistication of Airbnb, Netflix or Microsoft. Plus, learn how Eppo ties business metrics to product work, enabling rigor across revenue-driving decisions by turning blind launches into experiments. Please note: Theaters are first come, first seated.
Transforming Compliance Data on Snowflake, IN105
The Snowflake Data Cloud offers FIS Compliance Suite advantages over other on-premises data solutions. Organizations are migrating to Snowflake with the goal of one platform for non-financial regulatory reporting, data consolidation, business intelligence and machine learning. FIS replaced legacy technology with Snowflake, leading to savings and performance improvements. With less than 20% of the compute power, execution speed improved by 2.5x overall, with some jobs more than 20x faster. The FIS and Snowflake partnership has delivered client experience improvements, reduced operational overheads, lowered licensing costs, and provided the ability to tap into a broader market.
Xactly's Cloud Security Data Lake Journey - Quantify, Qualify, Collaborate, Advocate, CY110
By using a data-centric approach to cybersecurity leadership, Xactly has rebuilt a cybersecurity program in less than a year with the Snowflake security data lake at its core. Join this session to learn how we achieved success in such a short amount of time. We'll cover how - by effectively partnering with leading ecosystem providers such as Lacework, Dassana, Spera and Hunters - we were able to quantify our security posture, qualify the relative performance of several key capabilities, collaborate with the business to secure a shared diagnosis, and advocate for improvements.
2:00 PM PDT - Monday, Jun 3
Accelerating Adoption of Modern Data Stacks: A State of California Case Study, IN115
Transitioning from a monolithic data infrastructure to a modular infrastructure can be daunting. California's Office of Data and Innovation (ODI) offers a service to help state departments adopt modern data stacks. Discover how ODI collaborated with the California Department of Human Resources to adopt a modern data stack, including Fivetran, dbt and Snowflake. This session explores the role of analytics engineering practices in enhancing data accessibility and quality, enabling proactive workforce trend analysis; informed policy decisions around diversity, equity and inclusion; and identifying structural challenges to filling roles.
AT&T Secures Data with Fast Time to Value and High Availability Through Snowflake, GP205
AT&T's business customers need secure access to their inbound call data records with high availability to handle any outages that could affect data processing. To achieve this, AT&T leverages Snowflake’s cross-region disaster recovery capabilities along with AT&T’s internal high availability data centers to provide data in a secure and timely manner. This solution helps AT&T onboard more applications with business continuity requirements to deliver data-driven insights across the organization with lower time to value for the business.
How AXS Drives Advertising and Marketing Growth with the Snowflake Data Cloud, MA107
AXS, the global leader in sports and entertainment ticketing, has transformed its Data Cloud to power hyper-personalized marketing and advertising campaigns. Engaging over 34 million customers annually, AXS exemplifies how integrating adtech and martech in the Data Cloud can streamline business operations and significantly boost growth. Join Hightouch and AXS to learn how merging adtech and martech strategies with a Composable CDP centered on the Data Cloud enables marketing teams to optimize campaigns, personalize experiences, and drive growth for their business. Please note: Theaters are first come, first seated.
How Nexon Unleashed Monetization Magic After Migrating from BigQuery to Snowflake, MD107
NEXON, a gaming industry leader, boasts 50+ live games with more than 1.9 billion global users across 190 countries. Our approach involves standardizing diverse game logs, breaking down silos and establishing the centralized Data Cloud, MonoLake, to glean data-based insights. Join this session to hear how migrating our data analytics platform from Google BigQuery to Snowflake helped optimize the analysis of gaming users’ behaviors, enhance satisfaction and deliver cost savings. You’ll also learn about future plans, architectures and applications, featuring cutting-edge Snowflake technologies such as Iceberg Tables and Snowpark Container Services.
More Research, Less Pipelines: Fidelity’s Adoption of Snowflake Marketplace, CO210
Fidelity has built a transformational data platform that has hooked into Snowflake Marketplace for years, allowing them to transform their data pipelines and save tremendously in data engineering. The various business units supported - such as Fixed Income, Quant and Data Science - can now trial data faster, and the firm can spend more time on research over pipeline management. Now, Fidelity is taking the next step with Snowflake Native Apps. We will talk about their strategies for evaluating Snowflake Native Apps available on Snowflake Marketplace, and how they have set up the capability to work with the products in a safe and governed manner.
North American Bancard: How Data Governance Is Driving Millions in Business Value Through Self-Service Analytics and Atlan, GP207
With 225,000 assets representing 41 terabytes on Snowflake, it's no small feat to govern North American Bancard’s data estate! Join Daniel Dowdy of North American Bancard and Austin Kronz of Atlan in this session to learn how their team automatically tags their data assets, syncs them into Snowflake and creates dynamic data-masking policies. They'll cover how, with trust in their policies and data, their analytics user base has grown by 2x, enabling their entire organization to leverage the capabilities of Sigma and Snowflake. And they'll lay out how, when the solution is fully deployed, North American Bancard expects Atlan to drive tens of millions in business value, affect a 700% increase in asset tagging, and reduce their risk and exposure with improved governance and security. Please note: Theaters are first come, first seated.
Revolutionizing Data Delivery: Innovations in Real-Time Pipelines, DE227
Join us at the forefront of data transformation as we delve into groundbreaking advancements in real-time data pipelines. In an era defined by data-driven decision-making, optimizing data delivery efficiency is paramount. This session explores cutting-edge techniques - from streamlining data ingestion using Snowpipe Streaming to enhancing processing speeds with Dynamic Tables and triggered tasks. Discover how Ally is implementing these innovative Snowflake features to transform their business with 2X speed in data delivery and 60% cost savings on data pipelines. Don't miss this opportunity to learn how to revolutionize your data infrastructure and stay ahead in the era of real-time analytics. Please note: Theaters are first come, first seated.
Snowflake Data Clean Rooms for Media and Advertising, IN220
Until now, data clean room technology has been deployed by large organizations with access to technical data privacy experts. Learn how with Snowflake Global Data Clean Rooms, companies of all sizes can easily build, connect and use data clean rooms with no additional license fees. Both demand- and supply-side platforms can leverage offline and online identity data to support a variety of marketer solutions, including the onboarding of first-party data at scale via Snowflake across their platforms without risking the exposure of PII, additional scale and frequency management in marketing activations, and better measurement of impressions to outcomes when a marketer shares first- or third-party data transactions.
Snowflake on Snowflake: Using AI/ML for Lead Scoring for Marketing and Sales, MA219
Ensuring that the highest-priority sales leads are quickly actioned is critical to get the most value from investments in sales and marketing. Leveraging the latest innovations in the AI Data Cloud, Snowflake is able to unlock siloed data and use AI/ML powered by Snowpark, Cortex, and the Snowpark Model Registry to provide our sales and marketing teams with high-quality leads. We’ll walk through how Snowflake prioritizes and improves lead quality for our sales and marketing stakeholders, how organizations can train and deploy end-to-end machine learning models entirely in the AI Data Cloud, and how to use LLMs to enhance, clean and refine existing data in a scalable manner that was previously impossible.
TransUnion: Crafting the First Snowflake Native App for Credit Data, AD209
Anyone who works with data can agree that its constant movement creates privacy and security risk, delays the time to value, and creates capacity challenges. Imagine now adding the complexities that come with data regulated through the Fair Credit Reporting Act. Well, it is time to take control. With TruIQ Data Enrichment, you get unlimited access to TransUnion credit data and can match it to your first- and third-party data, all directly in Snowflake. Join this session to learn why we chose to build this first-ever application for credit data management and linking in Snowflake, how Snowflake data governance and security features ensured compliance, what lessons we learned along the way, and more. Please note: Theaters are first come, first seated.
Uplevel Your Data Architecture with Real-Time Streaming Using AWS and Snowflake, DE230
Learn how you can use Snowpipe Streaming and Amazon Data Firehose to bring clickstream events, application and service logs, and data streams from 20+ sources into Snowflake within seconds to perform analytics. We will explore common architectures through customer examples, and illustrate how to set up low-code, serverless, cost-effective solutions for low-latency data streaming. You will learn how to integrate Snowflake with Amazon Kinesis Streams, Amazon Managed Streaming for Kafka (MSK), and Amazon Data Firehose to build low-cost, low-latency data ingestion pipelines.
Bring in the Domain Experts: Your Blueprint for Business-Driven AI with Alteryx, AI112
Fewer than 10% of companies have practical gen AI use cases in production. See how to join that 10% by filling a gap in your AI process: domain expertise. When everyone has access to pre-trained models, the data itself is the new competitive differentiator — which means your domain knowledge is a differentiator. Business domain experts are an untapped talent pool for AI adoption, and the key to high-quality data and AI use cases that make a practical business impact. In this session, learn how to augment your AI workflows with relevant domain knowledge. Get a framework for bridging the business-technology gap in AI with no-code use cases from Alteryx and Snowflake. Please note: Theaters are first come, first seated.








