Our first Databricks Data + AI Summit
Looking to maximize and secure your cloud data platforms? Join us.
Visit our booth
Booth #E412 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 |
|---|---|---|---|
| Tuesday, June 10, 11:30 a.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 | Companies need robust data management 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 10, 3:40 p.m. PT |
How Capital One Balances Lower Cost and Peak Performance in Databricks |
Jeff Chou, VP, Machine Learning Engineering, Capital One Software |
Companies need a lot of data to build and deploy AI models—and they want it quickly. To meet this demand, platform teams are quickly scaling their Databricks usage, resulting in excess cost driven by inefficiencies and performance anomalies. Capital One has over 4,000 users leveraging Databricks to power advanced analytics and machine learning capabilities at scale. In this talk, we’ll share lessons learned from optimizing our own Databricks usage while balancing lower cost with peak performance. Attendees will learn how to identify top sources of waste, best practices for cluster management, tips for user governance and methods to keep costs in check. |
| Wednesday, June 11, 11:30 a.m. PT | How Capital One Uses Tokenization to Protect Data | Teja Bapat, Director, Product Management & Pushkar Waghdhare, Sr. Manager, Product Management, Capital One Software | 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 Databricks environment. |
Networking event
Level up with Capital One Software
Join Capital One Software for a high-energy night of connection and fun at The Detour, an iconic San Francisco arcade bar.