Allison Lee | VP, Engineering
With all the fantastic sessions planned for Data Cloud Summit, picking only 10 sessions was really challenging! This list of 10 highlights some of the latest and greatest product innovation around performance, governance and privacy as well as a few incredible examples of how our customers are using the power of the Data Cloud to address critical issues around health and sustainability. Take a look!
Sessions
How Snowflake Data Clean Rooms Are Powering Advanced, AI-Driven, Multi-Party Collaboration, GP220
Data clean rooms have evolved from a third-party cookie replacement for media to an advanced, multi-party compute and collaboration system that safely unlocks sensitive and proprietary data across industries in ways never before possible. In this session, we will explore capabilities of Snowflake Data Clean Rooms, including how developers can customize code analysis templates for various use cases, integrate with custom data clean room implementations and partners across the ecosystem, and securely integrate and enable AI models into the data clean room.
How Discover Optimized Performance and Costs on Snowflake, OO205
Never risk performance — without it, everything else is moot! Join us for an inside look at how Discover delved into key performance metrics that are often overlooked in Snowflake. This session will detail how to navigate challenging areas such as identifying memory limitation, warehouse sizing and storage usage. Join us to unlock Snowflake efficiencies, ensuring peak performance and gain actionable strategies for maximizing Snowflake capabilities to elevate your data infrastructure. Please note: Theaters are first come, first seated.
An Inside Look at Platform Performance Improvements at Snowflake, OO306
Get a behind-the-curtain view into how Snowflake development teams tackle some of the world's most challenging distributed data processing challenges. Learn about how we think about the entire lifecycle of query performance, how we find opportunities to make ongoing performance improvements across this lifecycle, and how we track the impact of these improvements.
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.
BlackRock's Aladdin Data Cloud: Using Native Apps to Gain a Competitive Edge, CO211
Learn how BlackRock has partnered with Snowflake to build the Aladdin Data Cloud, a next-generation data platform for investment managers. This session will cover how BlackRock developed a low-latency analytics platform using Snowpipe and Snowflake Dynamic Tables that can seamlessly combine data across an investment manager's data estate. Get an under-the-hood look at the modern technology stack that enables high-quality, secure data access on Aladdin Data Cloud, and a first look at a production-grade Snowflake Native App to power strategic investment decisions, faster. You'll also see how Snowflake's gen AI capabilities can augment workflows and make financial analysis easier.
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.
Methane Matters: Impacts, Challenges and Solutions, AI113
Emissions from the oil and gas industry are a growing concern across the globe as the effects of methane and other greenhouse gases are further studied and understood. Using the broad and detailed content collected over many years, S&P researchers are now combining in-house data with government-sourced and satellite-sourced data to provide meaningful research to assist clients in addressing climate change. Utilizing Denodo and Snowflake, data is combined and curated into usable information for advanced machine learning and insights. Learn how S&P Global Commodity Insights uses Denodo and Snowflake to enable clients to understand and reduce greenhouse gas emissions. Please note: Theaters are first come, first seated.
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.
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.
Productionalizing Gen AI Models: Lessons from the World's Best ML teams, AI118
AI is poised to add $15.7 trillion to the global economy by 2030, with generative AI at the forefront of this revolution, marking a transformative shift across sectors. In this talk, Lukas Biewald will unpack the impact and potential of gen AI models and share practical insights learned from the best ML teams in the world who are building and implementing AI in production. He will share specific insights on deploying Gen AI models into real-world applications, emphasizing LLM evaluation, data set management, model experimentation and optimization. This session is a call to action for ML teams looking to leverage AI's full potential responsibly, and to expedite putting AI into production. Please note: Theaters are first come, first seated.