1:00 PM PDT - Monday, Jun 3
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.
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.
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.
2:00 PM PDT - Monday, Jun 3
Building Snowflake Community at Your Workplace, BI103
Join this session to hear how travel and tourism company TUI built a study group to drive data literacy and Snowflake adoption in its organization. TUI's unique approach focused on increasing the core audience's technical knowledge. You'll hear tips and tricks on user engagement, sourcing and promoting a company-wide initiative, along with a deep dive into the mechanics that make the group self-sufficient and self-driven. Please note: Theaters are first come, first seated.
Data and Analytics Leaders Roundtable: Ensuring Trust in Enterprise Analytics, BI230
According to a recent Bigeye report, 70% of decision-makers don't trust analytics dashboards to make critical decisions due to regular data quality incidents. Join Kyle Kirwan, CEO and Co-Founder of Bigeye, as he sits down with data and analytics leaders responsible for some of the largest, most complex enterprise data environments to discuss the challenges that reduce trust in business analytics as well as strategies for tackling them. Topics will include monitoring data even as it moves from traditional data sources into Snowflake; tackling analytics reliability for executive dashboards; and building business leader trust by providing insight into dashboard health.
Marathon Oil: Bringing Business and Technical Users Together with Data , BI218
This session will delve into how Marathon Oil is setting new industry standards by unlocking unprecedented analytical capabilities. We will focus on the expanded role of data, how to lay the foundation for practical AI applications, Python's future role in advancing analytics, and the automation of complex data workflows. We'll discuss how by using Sigma’s analytics platform with input tables, Marathon can extend the value of its next-gen Data and AI platform to non-technical business users who don't know how to use Python or SQL to analyze their data.
3:00 PM PDT - Monday, Jun 3
Geospatial & Raster: Pioneering Agriculture Sustainability, BI209
Join this session to learn how Indigo Ag, a pioneering agricultural technology company, harnesses the power of CARTO, Snowflake and raster data to revolutionize farming sustainability, profitability and productivity. We'll delve into our innovative use of dashboards for visualizing remote sensing outputs and scouting for potential enrollees in Indigo's trailblazing sustainability programs: Carbon and Source. Carbon by Indigo generates unique agricultural carbon credits, helping farmers move toward sustainable practices. Meanwhile, Source rewards farmers of key crops such as rice, wheat, soy, corn and cotton for eco-friendly practices, spotlighting resource conservation and emission reduction. Please note: Theaters are first come, first seated.
Recipe for Analytics: Building a Data Insights Fast Lane at Toast, BI222
How did one data and analytics team meet the insights demand of hundreds of users across GTM and engineering? They built a data insights fast lane to drastically reduce time to insight for novel business questions. In this session, you'll learn how Toast streamlined its data storytelling, prototyping and one-off analysis workflows; enabled personas to use the right tool for the right analytics use case; and balanced its data stack to serve core business metric reporting and the critical needs of ad hoc insights. Ultimately, Toast accelerated the flow of data through the cloud, shortened analytics iteration times, and made ad hoc insights available to the entire organization. Please note: Theaters are first come, first seated.
4:00 PM PDT - Monday, Jun 3
Unlocking Client Insights: Unifying Data for Enhanced Financial Services, BI208
In the financial services space, data is critical to understanding client history, communicating with the client base, and expanding lifetime value. But so often, critical client data is stored across multiple systems, making it difficult to get a complete view. Sound familiar? Join Andrew Swinney, Head of Data and Marketing at Leader Bank, to understand how he built a powerful client 360 program that combines client data from a multitude of siloed business units to drive better client service, more effective marketing and incremental revenue opportunities. Please note: Theaters are first come, first seated.
11:00 AM PDT - Tuesday, Jun 4
Turn Data into Business Assets with Embedded Gen AI-Powered Analytics, BI109
Consumers today demand faster time-to-insights and data fluency at the point of decision. Join us to learn how paradigm-shifting technologies such as natural language search and generative AI embedded in business workflows can deliver true self-service analytics. See how ThoughtSpot Embedded, Powered by Snowflake, enables faster time to market, higher app engagement, and the opportunity for new revenue streams. Learn from examples of businesses like Trendata and Act-On Software that have modernized their data and analytics strategy to drive business agility, optimize operations, and delight customers. Please note: Theaters are first come, first seated.
12:00 PM PDT - Tuesday, Jun 4
How Coca Cola Consolidated Optimized Delivery Route and Logistics with Snowflake, BI207
Coca Cola Consolidated uses data engineering pipelines to optimize its logistics by analyzing warehousing and customer delivery networks. The process involves collecting data, modeling logistic networks, and presenting actionable insights through a Streamlit application hosted in Snowflake. Join this session to learn how this approach enables efficient resource utilization, cost-effective routing, and supports "what if" analyses for strategic planning. You’ll learn how it empowers the company to make informed, data-driven operational and strategic decisions. Please note: Theaters are first come, first seated.
What’s New: Time-Series Analytics in Snowflake, BI219
Time-series data — also known as data with timestamps — is everywhere. From IoT sensors to financial markets to web data, time-series data is exploding in terms of velocity and volume with the advent of cloud infrastructure, smart devices and machine learning applications. This type of data serves diverse purposes, ranging from helping identify machinery due for service to providing operational intelligence dashboards to evaluating financial trading strategies. Snowflake can enable such complex analytics on these large volumes of data in low latencies. Join this session to learn the latest time-series capabilities in Snowflake to unlock the power of your time-series data.
Uncover Powerful Geospatial Insights with Mapbox in Snowflake, BI211
Are you fully utilizing the potential of geospatial data to optimize operational efficiency and strategic business planning? The traditional process of validating and transforming geospatial data into a usable format can be challenging. In this session, see how the new version of Mapbox’s Snowflake Native App empowers location intelligence through real-world applications such as retail customer demographic analysis, optimal route planning for logistics businesses, retail site selection for food and beverage, healthcare and telecommunications, and more. This is all done through easy validation, normalization and visualization — all using simple SQL functions. Join us and learn how to unleash the power of your location data.
1:00 PM PDT - Tuesday, Jun 4
Globally Connected Vehicles: How Toyota and Snowflake Are Driving Innovation, BI203
Toyota Motor Corporation, one of the largest automobile manufacturers in the world, is on a mission to drive global connectivity. Its connected vehicles program gathers data from vehicles all around the world for analysis. Each country, however, poses a unique set of challenges in terms of laws and regulations, public cloud availability, technologies, and even road and climate conditions. In this session, hear from Yoshihiro Oe, General Manager, Toyota Motor Corporation, as he shares insights into Toyota’s Connected Vehicles program and how the Snowflake Data Cloud, Snowpipe Streaming, Snowpark and Secure Data Sharing play a critical role in its success.
Supercharge Analytics with Easy-to-Use Machine Learning, BI106
Want to amp up your team's analytics and use machine learning without any complexity? Join us for a highlight reel of Snowflake's Cortex ML functions. We'll walk through what's new: more functions, bigger scale, more flexibility and an approachable web interface. We'll share some real-life use cases from customers, and show a demo that goes from zero to results in minutes. You’ll walk away from this session with the ability to generate ML-based predictions with just a few lines of SQL. Please note: Theaters are first come, first seated.
2:00 PM PDT - Tuesday, Jun 4
Democratizing Data-Driven Decision-Making for the Buy Side: Low-Code Analytics, BI201
Turning data into actionable insights provides investors with a competitive edge, yet often presents a barrier to entry for the nontechnical user. In this session, AB CarVal and Bloomberg will share how technical and nontechnical portfolio managers and teams can easily and securely extract immediate value from their Bloomberg data by leveraging Sigma on Snowflake — all while complying with strict data governance requirements. Join to learn how Snowflake and Bloomberg worked together to help mutual customer AB CarVal get started on this journey, and to see examples of live, curated, low-code, high-control applications across portfolio risk and reporting.
How ServiceNow is Using ML Functions for Anomaly Detection in Data, BI215
ServiceNow is on a mission to drive AI at scale for all things data. This session will delve into how the Data and Analytics team at ServiceNow is leveraging Snowflake ML Functions for specific data use cases. Join to understand the specific challenges the ServiceNow team has overcome to enable every data engineer to transform into an machine learning engineer, and enable every data analyst to become an AI specialist. With about 5x growth in workloads and 3x growth in its user base, the ServiceNow team will share a demo along with practical insights into why they decided to go all in on this feature. Attendees will also see how Snowflake ML Functions can be governed and scaled across the enterprise. Please note: Theaters are first come, first seated.
4:00 PM PDT - Tuesday, Jun 4
Data Without Silos: REI's Journey to Self-Service Enterprise Analytics, BI111
Learn how REI uses Sigma and Snowflake as key partners in its strategy to overcome data isolation, diverse technical skills, and skepticism toward aggregated data. In this session, we’ll explore REI's transformational journey of breaking down data and technical silos to empower digital merchandisers, marketing program managers, store operations analysts, and other co-op business units to collaborate.
Hands-On Lab: Machine Learning for SQL Users, BI304
Are you or your team SQL-savvy and experts in your data, but not familiar with the machine learning workflow? Feel bottlenecked by your data science team's long backlog? Join us for this hands-on lab to learn how to use Snowflake's built-in ML functions. Choose between using your own data or demo data to build ML models, generate highly accurate insights in minutes, and schedule recurring predictions — all while using familiar SQL — wherever you typically interact with your Snowflake data. We are firm believers that ML is a powerful tool, not just for data scientists and ML engineers but for data analysts, too. We look forward to showing you what we've built.
11:00 AM PDT - Wednesday, Jun 5
Crunching Patient Data at Scale for Real-Time Visualization of Disease Cohorts, BI214
Join this session to discover OM1’s breakthroughs in querying over 100 billion healthcare records for 300 million patients in real time. Learn how OM1 transitioned from PowerBI to Snowpark, enabling efficient analytics of vast clinical data. You’ll get to check out an application using Snowpark to query these records, and get insights into constructing a large-scale healthcare analytics database. This session is ideal for those interested in a scalable, intuitive solution for extensive healthcare data analysis using Snowflake. Please note: Theaters are first come, first seated.
Getting Started with Geospatial Machine Learning Using Snowflake Cortex, BI306
Join this session to get hands-on experience with Snowflake geospatial features and Snowflake Cortex machine learning functions. You’ll get to work with real-world data to build an extract, transform, load (ETL) pipeline, train a model and learn how to create visualizations with Streamlit for predicting taxi demand in New York City.
Unlocking Self-Service on Unstructured Data with Omni, BI112
Raw, unstructured data contains valuable and timely insights, but harnessing them requires upfront data engineering. The missing piece is just-in-time data modeling, allowing users to transform mess into structure as they analyze. To give all users full flexibility, Rose Rocket moved away from highly structured relational database modeling toward exposing pockets of less-structured modeling with Snowflake. Using Omni’s BI Platform, the company enabled non-technical users to parse JSON and define their own queries without requiring data team help. Join this session with Snowflake, dbt Labs and Omni to learn how to help all users answer their own questions — and even contribute to the data model! Please note: Theaters are first come, first seated.
Put LLMs to Work on Your Business Data with Gen AI-Powered Analytics, BI205
Generative AI and machine learning are changing the way we work, from accelerating workflows to empowering innovations in products and business. However, it's clear that not all AI products are created equal. So how do you determine whether your AI is adding the value you need? Join this session to see how ThoughtSpot’s AI-powered analytics platform, Powered by Snowflake, is helping businesses like Lacework usher in a new era of analytics that centers the human experience, drives accurate and tangible outcomes, and operates on a transparent and secure foundation.
Unlocking the Power of Customer Data with Salesforce Data Cloud and Tableau, BI114
Learn how Snowflake's unique partnership with Salesforce supercharges all enterprise data. This session will explore how, through game-changing integrations with Salesforce Data Cloud and Tableau, our joint customers can maximize value on their technical spend, eliminate data islands, and drive more insights with zero-ETL and near real-time data access between platforms. Please note: Theaters are first come, first seated.
12:00 PM PDT - Wednesday, Jun 5
How Tenable Generates Global Insights Across Multiple Snowflake Sites, BI224
Tenable is the world's leading Cyber Exposure Management platform. In this session, see how Tenable developed a solution to coalesce data from multiple Snowflake sites to derive cybersecurity knowledge. You’ll also learn how the power of billions of data points — from across the world’s infrastructure — were harnessed to garner insights about the state of the global cybersecurity landscape. Please note: Theaters are first come, first seated.
BI Analytics with Snowflake: Imports/Extracts vs. Direct Query/Live SQL Pushdown, BI216
When connecting to Snowflake, many popular BI tools offer developers and analysts the choice of using data imports and Snowflake extracts, versus connecting live to Snowflake data with direct SQL queries. Join this session to learn the pros and cons of each approach, what to keep in mind on the Snowflake side, and what options are supported by Snowflake’s leading BI tech partners.
How HBSE Leverages Data and Automation to Increase Sales for Pro Sports Teams, BI105
Harris Blitzer Sports & Entertainment (HBSE) owns and operates the Philadelphia 76ers and the New Jersey Devils. With such a wide array of customer data, HBSE needed a way to build complex audiences with enhanced personalization and segmentation strategies, and to launch discreet campaigns across destinations such as Salesforce, Facebook Ads, and TikTok. Join this session with Braden Moore, VP of Data & Analytics at HBSE, to learn how he uses Snowflake and GrowthLoop to unlock data flexibility across the organization; automate marketing processes for smarter, more agile campaigns; and build 1,000+ audiences, boosting fan engagement and ticket sales for the 76ers and Devils. Please note: Theaters are first come, first seated.
The AI Context Engine for Your Snowflake Data, BI225
Imagine effortlessly querying your structured data, asking it complex questions, and getting accurate answers that are tailored to your organization. In this session, we will walk through how you can give context to your data through a machine learning engine. We’ll demonstrate how to make use of a novel natural-language-to-SQL generation process that leverages knowledge graphs and ontology to form a semantically correct SPARQL query. The results convert to SQL through a specialized virtualization layer. Building and scaling AI applications just became a lot easier. Please note: Theaters are first come, first seated.
1:00 PM PDT - Wednesday, Jun 5
Domo for Snowflake: Driving Data-Driven Decision-Making, BI212
During this session, we’ll explore how Domo’s integration with Snowflake lets you optimize your BI architecture and deliver data to people with apps, BI and data science — all at speeds you never thought possible. In this session, you’ll learn how to revolutionize data management with Snowflake and Domo. Hear examples of how Domo for Snowflake customers are creating direct data warehouse connections, streamlining data workflows, fostering a nimble data infrastructure, and aiming for enhanced scalability and modernization. Whether you’re a data analyst, business leader, or IT professional, you’ll leave knowing how Domo for Snowflake can elevate your organization’s data-driven decision-making.
DHL Express Delivers On Time Across 200+ Countries with the Snowflake Data Cloud, BI206
DHL is a global logistics leader providing courier, package delivery and express mail services, operating in 200+ countries around the world. In this session, the DHL Express BI and Analytics platform team will share how they’ve transformed the availability and value of data across the enterprise by delivering a platform engineering approach. With Snowflake, the team has successfully enabled citizen-led data product development, thereby scaling innovation and driving velocity in new data product releases, all while driving a 20% reduction in operational costs and improving data product performance by 25%. Please note: Theaters are first come, first seated.
2:00 PM PDT - Wednesday, Jun 5
One Platform for Spreadsheets, Business Intelligence, Data Apps, Python and AI, BI213
See how Sigma is redefining business intelligence. Join Sigma’s Product Evangelist, Luke Stanke, and Head of Data Applications, Stipo Josipovic, as they highlight Sigma’s newest and industry-defining features that leverage the power of the Data Cloud. With the flexibility to seamlessly switch between spreadsheets, SQL or Python — or build data applications — every team member contributes live, using the language of their choice to interpret data and build a complete, cohesive data story. Successfully bridge the gap between your business and data science teams, and drive your business forward in Sigma’s data intelligence platform. Please note: Theaters are first come, first seated.
Zero to Production with Ally Bank and Snowflake ML Functions, BI223
Interested in harnessing the power of machine learning to make faster, better data-driven decisions? Join us to learn how Ally Financial has gone from zero to production with Snowflake Cortex ML-based functions to achieve next-level cloud cost management. Ally will discuss how it has enabled its operational monitoring teams to predict cloud spend and identify cloud costs — all using Snowflake's simple, ML-based SQL forecasting and anomaly detection functions.
Revolutionizing Golf Ball Production: Enhancing Supply Chain Efficiency through Domo and Snowflake Integration at TaylorMade, BI217
Leveraging the powerful capabilities of Domo and Snowflake, TaylorMade has revolutionized its golf ball production supply chain. This session will explore how TaylorMade's integrated solution harnesses Domo’s sophisticated business intelligence tools and the scalable Snowflake Data Cloud to deliver unparalleled insights and real-time analytics. TaylorMade now enjoys enhanced visibility across the most critical areas of its supply chain, from raw material sourcing to final product delivery. This collaboration not only optimizes operations, but also drives strategic decision-making, ensuring that TaylorMade remains at the forefront of innovation and efficiency in the competitive sports equipment market. With this robust data-driven approach, TaylorMade is set to continue its legacy of quality and precision in golf equipment manufacturing. Join this session to learn more about TaylorMade's story. Please note: Theaters are first come, first seated.
3:00 PM PDT - Wednesday, Jun 5
Full Text Search in Snowflake, BI226
The Search and Pruning team at Snowflake is actively developing features such as Search Optimization and Full Text Search to improve the performance of needle-in-the-haystack-type queries. Full Text Search provides an easy, no-setup search solution that allows users to perform token search without specifying which columns or tables to query. Join this session to learn about this new feature, which also leverages Snowflake’s Search Optimization Service, and allows users in log analytics, cybersecurity and other industries to perform selective phrase searches across entire schemas.
Bigeye: Making Analytics Trustworthy by Default, BI113
Despite the ever-growing need for data-driven decision-making, business leaders are still foiled by unseen upstream data issues breaking their dashboards. Data observability emerged as a key trend in 2023 reports, and it offers a new approach to help technical teams keep data pipelines reliable, but what about non-technical teams? Kyle Kirwan, CEO of Bigeye, will give an overview of how non-technical teams — including data analysts, data stewards and data product owners — can use data observability to map and monitor every field, powering critical analytics and eliminating broken dashboards for good. Please note: Theaters are first come, first seated.
What's New: Geospatial Analytics at Snowflake, BI221
Snowflake is rapidly adding new geospatial functions and product integrations to enable geospatial analytics in the cloud. Join this session to learn about new features and future plans for geospatial analytics, straight from Snowflake engineers, so you can level up your location data.
4:00 PM PDT - Wednesday, Jun 5
Hands-On Lab: Time Series, BI305
At Snowflake, we’re committed to helping customers derive meaningful insights from their data with simplicity and speed. Join this hands-on lab to learn how to perform time series analytics in Snowflake — a vital task across domains such as finance, manufacturing, ML platforms, observability, and even advertising. Any data that is collected over time and has a timestamp associated with it is considered time series data. In this session, you’ll learn how to use some of our latest time series functions so you can compute, visualize and track key metrics over time in order to drive important business decisions.
9:00 AM PDT - Thursday, Jun 6
T-Mobile's Network Modernization: Migrating Geospatial and Spark Workloads, BI227
Join this session to learn how T-Mobile's Network team has modernized their connected data architecture with Snowflake. Snowflake's differentiated geospatial functionality and ability to handle massive Spark migrations for big data pipelines has been key. The migration of +2 PB of data in the past 1.5 years has resulted in a 33% enhancement in data processing speed, more accurate geospatial mapping, and critical insight into previously unseen protocol metrics. Beyond the immediate gains in efficiency and speed compared to other geospatial- and Spark-based technologies, Snowflake's platform offers substantial advantages that include reduced technical debt and accelerated time to deployment.
Forecasting with Snowflake ML Functions, BI204
Snowflake Cortex ML functions use machine learning (ML) to detect patterns in data, but you don’t have to be a machine learning developer to use them. Join this session to learn how these functions can help you train an ML model on your time-series data, and determine how a specified metric would vary over time, relative to other features of your data. Data Superhero Maja Ferle will share how quick and easy it is to implement ML models in Snowflake, with SQL statements that are executed from SQL worksheets. Please note: Theaters are first come, first seated.
What's New: Streamlit in Snowflake, BI108
With Streamlit in Snowflake (SiS), you can go from Python code to interactive widgets instantly, making it easy to build lightweight, interactive internal apps to help teams use their data. Join this session to learn about the latest SiS capabilities to boost your BI and analytics strategies.
10:00 AM PDT - Thursday, Jun 6
Streamlit for BI Analytics Use Cases, BI107
Join us to explore how you can apply Streamlit to your BI use cases. Today, Streamlit in Snowflake is loved by Python-savvy data practitioners for its built-in security and time to value. We’ve seen tens of thousands of interactive data apps created — from simple data entry interfaces to LLM chatbots and everything in between. Learn how Streamlit can be used to go from prototype to production for data visualization and dashboards. This session will include real-world customer examples as well as recommendations from the Streamlit data science team. Please note: Theaters are first come, first seated.
Deliver Bespoke Analytics and Conversational Data Exploration with Gen AI, BI229
Revolutionize analytic experiences and data interaction through AI-driven conversational analytics, setting a new standard for user engagement with data. Delve deep into the capabilities of Sisense's Compose SDK, which enables developers to build fully flexible analytics into products. Accelerate innovation with immersive, gen AI-powered data interfaces that allow for dynamic data exploration and automated insights. We'll highlight the transformative potential of crafting bespoke data narratives and fostering an ecosystem where conversational analytics flourish. In just twenty minutes we will lead you through a transformative data experience — it's that cool. Please note: Theaters are first come, first seated.
How DTCC Monitors Application Rotation Across Regions with Streamlit , BI301
Applications are loosely coupled and can execute disaster recovery or rotation procedures across regions independently of each other. Join this session to hear how the Depository Trust & Clearing Corporation (DTCC) created a centralized Streamlit dashboard that showcases application replication status, active region, replication events and metrics. It emphasizes crucial details such as connection, CNAMEs, failover groups and Autosys job details. This session will be ideal for IT managers, operational teams and disaster recovery teams within an organization.
11:00 AM PDT - Thursday, Jun 6
Snowflake SQL Improvements, BI220
In the last year, Snowflake has continued to double down on SQL enhancements, designed to bring you a better developer experience. Join this session to delve into the newest syntax and functions in Snowflake, plus hear best practices on using them. You’ll learn the latest strides in Snowflake SQL to refine your art of query writing.