Capital One Software at the Snowflake Summit
Visit our booth
Booth #1309 to learn how Databolt & Slingshot can help secure and optimize your data cloud.
Schedule a meeting
Book a 1-on-1 meeting with one of our experts to see how you can maximize your data cloud.
Hear from our experts
Attend one of our sessions to learn about cost optimization, data management, security and more.
Capital One Databolt
Databolt optimizes data security without sacrificing performance
Build business applications, such as AI models that involve sensitive data, securely driving value across your organization.
Capital One Slingshot
Simplify, optimize and maximize your data cloud use
Unlock the strategic value of Databricks and Snowflake, establish sustainable data governance and enhance cost visibility, letting you make the most of your financial and compute spend.
Hear from our experts
| DATE/TIME | SESSION | SPEAKER | OVERVIEW |
|---|---|---|---|
| Monday, June 2, 1 p.m. PT | The Prescription for Data Scaling with Snowflake and Slingshot at Capital Rx | Edward ‘Ted’ Beezy, Vice President of IT & Paul Furman, Vice President of Data Management, Capital Rx | As a leading enterprise health technology company, Capital Rx leverages Snowflake to deliver high-quality healthcare data insights at scale. Data demands soared as our company scaled and Judi®’s feature set expanded, so we partnered with Capital One Slingshot to optimize resources, reduce compute costs, and unify warehouse management. Join us to see how we consolidated our warehouses, significantly cut expenses, and maintained performance to enable better patient outcomes through advanced analytics. |
| Monday, June 2, 3 p.m. PT | Machine Learning at Capital One Software and Exploring Snowflake Model Registry |
Brenton Mallen, Senior Machine Learning Engineer, Capital One Software & John Heisler, Sr. AI/ML Architect, Financial Services, Snowflake |
In this session, we’ll take a look at how Capital One Software deploys machine learning models to leverage Snowflake for scalable predictive analytics. It will also provide a glimpse into how we’re exploring Snowflake ML to take advantage of the Model Registry to increase potential and velocity. |
| Monday, June 2, 4 p.m. PT | How to Manage High-Quality, Secure Data and Cost Visibility for AI | Yudhish Batra, Distinguished Engineer & Laura Case, Director, Product Management, Capital One Software |
capabilities to build and deploy AI. Data needs to be easy to find, understandable, and trustworthy. And it’s even more important to secure data properly from the beginning of its lifecycle, otherwise it can be at risk of exposure during training or inference. Tokenization is a highly efficient method for securing data without compromising performance. In this session, we’ll share tips for managing high-quality, well-protected data at scale that are key for accelerating AI. In addition, we’ll discuss how to integrate visibility and optimization into your compute environment to manage the hidden cost of AI: your data. |
| Tuesday, June 3, 12 p.m. PT | How Capital One Uses Tokenization to Protect Data | Teja Bapat, Director, Product Management & Ben Moser, Sr. Manager, Product Management | Modern companies are managing more data than ever before, and the need to derive value from that data is becoming more urgent with AI. But AI adoption is often limited due to data security challenges, and adding to this complexity is the need to remain compliant with evolving regulation. At Capital One, we’ve deployed tokenization to further secure our data without compromising performance. In this talk, we’ll discuss lessons learned from our tokenization journey and show how companies can tokenize the data in their Snowflake environment. |
| Tuesday, June 3, 1:30 p.m., PT | How to Boost Developer Productivity with Automated Testing for Stored Procedures | Kishore Kolanu, Director, Software Engineering & David Ellis, Sr. Lead Data Engineer, Capital One Software | The difficulties of testing Snowflake objects, particularly stored procedures, arise from data dependencies, lack of repeatability and manual processes. By automating test setup and execution and integrating them into a CI pipeline, teams can achieve faster and more thorough testing of Snowflake stored procedures, which can lead to higher quality code and reduced risk of regressions. In this talk, we'll share how we built a reusable testing framework to solve these challenges. |
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