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.
talk-data.com
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Speaker
Laura Case
1
talks
DIrector, Product Management
Capital One Software
Laura is a Director of Product Management at Capital One Software, an enterprise B2B software business of Capital One. Laura has spent the last 25 years passionately exploring and talking about all things data. As a data and analytics product leader, she has built innovative enterprise solutions that empower customers across healthcare, data management, and data security industries to make better data-driven decisions. Her expertise lies in transforming data challenges into intuitive, high-impact products that drive real-world value. Beyond building great products, Laura is known for growing and nurturing teams by leading with authenticity, humor, and optimism.
Bio from: Data + AI Summit 2025
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