1:00 PM PDT - Monday, Jun 3
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.
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.
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.
How Data Supports Cargill's Goal of Zero Carbon Shipping, IN113
In this session, learn how Cargill built a data ecosystem from scratch to support the company's goal to achieve zero carbon shipping. Hear real-world examples of how data engineered in Snowflake can help traders, vessel operators and customers achieve their business goals and reduce the carbon footprint. You will also get visibility into the data flows, technology architecture, and the role that gen AI plays to drive key freight trading, vessel operations, customer experiences and sustainability outcomes. Please note: Theaters are first come, first seated.
3:00 PM PDT - Monday, Jun 3
How USAA Delivers an Exceptional Customer Experience with Well-Governed Data, IN140
Financial services organizations recognize the strategic importance of data in remaining competitive, particularly in the digital realm where customer experiences are key. This session will explore how USAA created a data-driven culture with Alation to empower data users within the organization to get the trusted insights they need from the Snowflake Data Cloud by enabling them to discover the most valuable data with their specific business context. Join to see how a “retail” approach to delivering data products ensures data consumers have the insights they need, creating a leading customer experience. And learn how USAA is poised to tap into the power of AI with models built on trusted data from its governed data foundation.
How Bidgely Reduced Carbon Emissions for 4 Million Households Using Snowpark, IN212
With an average of over 25 electric appliances per household — each with its own load, usage and efficiency characteristics — the data landscape is vast. Utility companies face tens of billions of data points every minute from millions of homes. Bidgely’s Analytics Workbench on Snowflake steps in, transforming this data deluge into detailed insights about household energy patterns via AMI data. This allows utilities to segment customers, tailor rate plans, and recommend efficient appliance usage. The result? Massive energy savings, reduced carbon emissions and a leap toward a sustainable environment.
11:00 AM PDT - Tuesday, Jun 4
From Early Snowflake Adopter to Industry Leading: How JPMorgan Chase Powers Transformation in Merchant Services with Snowflake, IN139
JPMorgan Chase's Corporate and Investment Bank provides payments and merchant services for thousands of businesses globally. As an early adopter of Snowflake at the bank, the Merchant Services team has been able to generate significant performance improvements from migrating off their legacy platform. Hear how Merchant Services has built a single data platform — underpinned by secure data sharing — that allows their data scientists and business users to perform business-critical customer, credit card transaction and reporting analytics. And see what this means for the business, with expected productivity increases and reduced cycle times for product development.
12:00 PM PDT - Tuesday, Jun 4
ExxonMobil’s Data Mesh Strategy Powers AI/ML Financial Insights, IN209
ExxonMobil's Central Data Hub (HUB) uses a data mesh strategy to deliver numerous data products across their value chain (Upstream, Product Solutions, Low Carbon Solutions, and Corporate & Finance). Come learn about ExxonMobil's Snowflake journey, understand their high level architecture, and hear how teams will use Snowpark to power AI/ML insights.
How Barclays Achieved Federated Platform Enablement with a Hub and Spoke Model, IN204
This session will cover how Barclays scaled its Snowflake deployment spanning many Snowflake accounts, using a hub and spoke model, with provisioning and governance maintained in a single Zero Data Account. This Zero Data Account allows the platform team to centrally provision and govern their Snowflake deployment, while still being able to delegate responsibilities to local business unit administrators. Accounts and environments are provisioned with CICD pipelines triggered by service requests, meaning that all accounts are set up in a consistent way, reducing time to value for new business units onboarded. This leverages Terraform for account creation, replication to pushdown environment provisioning, governance and policies to all accounts.
How Snowflake Advances Interoperability for ACOs and Data Providers, IN112
Join this session to learn how healthcare analytics company CareJourney empowers risk-bearing providers with critical analytics using the power of Snowflake. CareJourney will discuss the advancements that CMS has made on data availability, and how Snowflake’s tool sets allow members to take advantage. Please note: Theaters are first come, first seated.
1:00 PM PDT - Tuesday, Jun 4
Embracing a Shared Vision Across the Enterprise for Data Utilization, IN116
The Texas Department of Transportation (TxDOT) practices a culture that values transparency, information sharing and adaptability to overcome silos and promote a unified approach to data management and modernization. The organization's recent shift embraces data-driven objectives, facilitates modernization efforts, and enhances the overall effectiveness of a data strategy. Snowflake's extensibility, manageability and scalability removes significant overhead associated with legacy solutions. Learn how TxDOT transformed its organization by leveraging a secure data platform giving customers assurance that their data is protected, and leading to increased data utilization to drive data-driven decision-making.
Leveraging the Power of Snowflake to Unlock Real-World Data in Healthcare, IN103
Using the right real-world data (RWD) sources drives innovation in healthcare and life sciences. Datavant reduces data sharing hurdles through privacy-preserving technology that allows the linking of patient health records across data sets. Datavant leverages Snowflake to power Datavant Connect, an RWD portal, and Datavant’s HIPAA compliance expert determination product, increasing the speed at which RWD is connected. This year, Datavant introduced its Tokenization Engine as a Snowflake Native App, eliminating the need for custom deployments, minimizing data movement, and unlocking identity resolution in Samooha by Snowflake. Together, Datavant and Snowflake are powering innovation and advancements in life sciences and healthcare. Please note: Theaters are first come, first seated.
2:00 PM PDT - Tuesday, Jun 4
Data and AI in Digital Pathology and Pathology Laboratory Operations, IN218
Advanced technologies such as digital pathology and genomics have transformed pathology lab ops, outpacing traditional workflows. Navigating these complex systems requires robust, scalable platforms. Efficient multimodal data management can improve operational efficiency and unlock AI's potential for better patient care. Join a session with Dr. Long Phi Le and Murali Gandhirajan to learn about the latest trends in digital pathology, genomics and AI, and how Snowflake's innovative features contribute to a next-gen data and analytics platform.
Migration Magic with General Dynamics Information Technology, IN114
Learn how General Dynamics Information Technology (GDIT) moved 16 years of federal government healthcare data, thousands of users, and more than 50 applications to Snowflake with zero disruption to mission-critical operations. Please note: Theaters are first come, first seated.
Optimizing Energy Use Within Manufacturing Facilities, IN108
By gathering energy usage data from a manufacturing facility and analyzing it at the production line, machine, processes, and shift levels, we can gain a more detailed understanding of precisely how energy is consumed and points of peak demand. This understanding enables organizations to reduce peak consumption, which can lead to a reduction in energy costs by 5-10% while also decreasing carbon footprint. Furthermore, fine-grain energy consumption data can be used to calculate the carbon emissions associated with each product that is produced. Applying artificial intelligence and machine learning techniques can uncover even more opportunities for energy savings. Please note: Theaters are first come, first seated.
3:00 PM PDT - Tuesday, Jun 4
Beyond the Headlines: How CNN Builds Data Trust and Reliability, IN213
As one of the world's foremost news organizations, CNN is the #1 source of digital news with a monthly audience of +150M people. To provide the most relevant and engaging experience, CNN's Product, Tech & Design team provides a world-class data product powering personalization, recommendations and more. Hear from Alex Charalambides, CTO at CNN, on how the team has doubled down on building data trust and reliability. He'll report his team's efforts to optimize customer targeting and personalization efforts, leveraging high-quality data and AI to activate CNN's audience; their approach to democratize data; and the impact of data observability on achieving high levels of data reliability and data trust.
How Instacart Delivers the Best Retail Media Network for Advertisers, IN216
Join this session to learn how Instacart developed its Retail Media Network that connects more than 5,500 CPG brands with millions of consumers directly at the point of purchase. Hear how Instacart is driving results for advertisers with its closed-loop measurement and full-funnel ad products, extending the power of its first-party data off-platform with the help of Snowflake, and building for the future state of retail media.
Using AI Driven Workflows to Automate Critical Business Processes, IN110
Join this session to learn how data teams at companies like Sanofi use no-code AI workflows to automate critical business processes in procurement and IT, targeting 8-figure+ cost reduction.
What to Consider When Bringing Data Exchange Programs In-House, IN117
Hear how US Foods leveraged the dynamic Snowflake Data Cloud to not only build an external supplier data exchange in-house, but also engineer a robust internal platform. The previous third-party exchange siloed data required stitching together multiple Excel exports. The new collaboration solution built on Snowflake seamlessly integrates all sales and inventory data across the business in one place. US Foods efficiently developed the program in-house using only the capacity required as it was built, improving the bottom line. In less than a year, US Foods built a robust, multi-dimensional, cross-functional solution thanks to Snowflake’s ease of use, superior scalability and built-in governance. Please note: Theaters are first come, first seated.
4:00 PM PDT - Tuesday, Jun 4
11:00 AM PDT - Wednesday, Jun 5
How Northern Trust Hedge Fund Services is Transforming Data Delivery to Clients, IN106
Discover how Northern Trust Hedge Fund Services is transforming client data delivery and reshaping the client experience with Snowflake. Join this session to learn about how Northern Trust has developed a cohesive data strategy that is focused on modernizing their clients' data experience via Snowflake's data sharing capabilities for increased self-service. This session also discusses how Dynamic Tables abstracts away the complexity of the underlying data structure and explores the potential of Document AI. By embracing modern technology, Northern Trust is not only meeting and exceeding client expectations but also setting new standards for efficiency and reliability in financial services.
AI-Powered Identity Resolution with the Snowflake Native App Framework Integration with Snowpark Container Services, IN203
Discover how we harnessed the Snowflake Native App Framework integration with Snowpark Container Services for AI-driven identity resolution at a major financial institution, ensuring precision, security and efficiency. Learn about the architecture behind our solution, and best practices for building a Snowflake Native App with Snowpark Container Service to bring in AI securely. We'll share our journey, focusing on overcoming challenges and achieving success with AI, including domain-specific and knowledge-enhanced models.
12:00 PM PDT - Wednesday, Jun 5
Addressing Business Needs for Sustainability, IN205
Generative AI is becoming more and more important for companies exploring new ways to build responsibly. Learn how Snowflake’s capabilities are helping a major utilities client realize the vision of sustainability data products — addressing data management challenges from multiple sources to build dashboards that track sustainability metrics and goals.
Getting the C-Suite’s Attention with Automated Cashflow Management, IN101
With Hitachi’s 3 divisions,16 business units and 400+ companies, managing cashflow in real time used to be nearly impossible. A tangled web of meetings, emails and spreadsheets took weeks, was prone to errors, and left everyone frustrated. Paolo Mercado, Hitachi's Director of Analytics, Transformation and Global Operations, will share how Hitachi centralized its data in Snowflake and used no-code, data-driven workflows to automate Hitachi's monthly cashflow reconciliation process globally. In doing so, Hitachi eliminated thousands of hours of manual work, empowered business leaders with critical information in near real time, and put Hitachi’s data team on the map of the C-Suite.
1:00 PM PDT - Wednesday, Jun 5
2:00 PM PDT - Wednesday, Jun 5
Separating Fact from Fiction in Data, AI and Apps, IN104
As technology evolves, misconceptions often arise, and it's crucial for industry professionals to distinguish fact from fiction. In this session our expert panel will debunk common myths, and provide clarity on the true capabilities and challenges of transformative technologies — focusing on AI, application strategy, industry data cloud management, decision-making and data governance. Join us to gain valuable insights, clear prevalent misconceptions and leave with a clearer understanding of how to navigate the dynamic landscape of data, analytics and AI in an undoubtably data-driven future.
3:00 PM PDT - Wednesday, Jun 5
How AT&T Achieved Data-Driven Optimization with Increased Scale of User Adoption, IN201
AT&T is undergoing an enormous cloud transformation inclusive of generative AI and data-driven strategies. Given the massive scale and growth of AT&T’s business, its data platform must provide dynamic elasticity while maintaining cost efficiency. AT&T’s transformation initially focused on accelerating its cloud migration for enhanced agility. AT&T also prioritized the optimization of Snowflake workloads to yield a greater return on investment. Join this session to hear about how AT&T leveraged Snowflake's FinOps engagement to identify cost savings (~20%) while simultaneously increasing the onboarding of workloads onto Snowflake.
From Snowpipe to Snowflake ML, IN210
Adoption of Snowpark ML at Spark New Zealand for the development and deployment of machine learning models helps the company better understand its customers’ needs and preferences. This empowers marketers to proactively present timely offers via Spark's advanced decisioning engine, thereby enhancing customer satisfaction. New Snowflake capabilities such as Model Registry, Snowpark Container Services, Hybrid Tables, Notebooks and Snowpark Optimized Warehouses will be demonstrated.
GoPuff's 'Bring Your Own Metrics' Tool and Central Statistics Engine with Snowflake, IN214
GoPuff moved to Snowflake from Redshift about three years ago and now leverages Snowflake for its bronze, silver and gold layer. The company's Snowflake instance is called the GoPuff Data Cloud and is used by GoPuff's analytics engineering, data engineering and data science teams. Join this session to learn how GoPuff uses Snowflake for multiple use cases and workloads, including advanced analytics product tracking, driver operations and distribution operations. You'll also hear about GoPuff's future plans for using Snowpark.
4:00 PM PDT - Wednesday, Jun 5
How Finance Drives Business Performance with Maxa on Snowflake at CN Rail, IN138
Join us for a transformative session featuring CN Rail, an iconic North American top performer. Discover how CN leverages Maxa's Snowflake Native App to improve operational efficiency, such as tackling fuel efficiency and reducing emissions while accelerating its digital transformation. Explore key topics including the evolving role of CFOs as data-driven decision-makers, and the Snowflake Native App delivery model as a revolution for large enterprises. Learn how CN blends financial and operational data to pinpoint fuel-saving opportunities, reduced complexity in financial pipelines with Maxa, and how finance executives directly engage with Streamlit to promote data-informed decision-making across the business.





