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Streaming Success: Capital One’s Data Management Tips for the Modern Enterprise

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A conversation with Capital One

Today’s modern enterprises know the value of leveraging real-time data—but how do you navigate the challenges of doing this effectively at scale?

You could learn a thing or two from the data enterprise team at Capital One, a tech-first bank that continues to trailblaze the banking sector with strategies that successfully operationalize real-time data across the enterprise.

Join us for an exclusive chat with our customer, Nisha Paliwal, Capital One’s Managing Vice President of Enterprise Data Technology, and learn how one of the biggest U.S. banks tackles the data complexities that come with managing a modern streaming technology for over 100 million customers.

Whatever your use case or industry, you will benefit from Nisha’s expert tips and lessons learned over the course of the bank’s data ecosystem transformation—from data integration to data governance. Discover how you can apply the same principles to effectively modernize your enterprise data architecture.

Nisha Paliwal Managing Vice President of Enterprise Data Technology, Capital One

Nisha Paliwal is a mother to two beautiful girls, a dreamer, and visionary technologist with a mission to bring human-centered thinking to everything she does. Nisha rejoined Capital One in March 2022 leading data platforms. Prior to this, Nisha spent 6 years at Capital One Card Tech, Finance Tech, and Small Business Tech. Nisha is currently leading the build and adoption of data platforms.

William LaForestField CTO, Confluent

Will LaForest is Field CTO for Confluent. In his current position, LaForest works with customers across a broad spectrum of industries and government, enabling them to realize the benefits of a data in motion architecture with event streaming. He is passionate about data technology innovation and has spent 26 years helping customers wrangle data at massive scale. His technical career spans diverse areas from software engineering, NoSQL, data science, cloud computing, machine learning, and building statistical visualization software but began with code slinging at DARPA as a teenager. LaForest holds degrees in mathematics and physics from the University of Virginia.