Lisa Cramer

Identity resolution is foundational to effective customer360, AI, analytics, activation, and measurement. However, frequently shifting privacy requirements and fragmented data make it harder than ever. In this session, learn how organizations are using LiveRamp Embedded Identity within Databricks to resolve and unify customer touchpoints without moving or exposing data. We’ll demonstrate how to extend this solution to enable secure data collaboration, improve match rates across partners and channels, and create a data foundation for AI-powered marketing— grounded in trust. Join us to see how top brands are modernizing their workflows to turn fragmented data into exceptional customer experiences.

Identity resolution sits at the core of modern data and AI. As signals disappear and privacy constraints tighten, the ability to unify fragmented customer records across partners directly impacts data quality, analytics accuracy, and model performance. In this session, we show how Databricks Clean Rooms enable organizations to build a trusted view of customer data by resolving identities across datasets without exposing raw PII. Join us for a technical deep dive with LiveRamp as we demonstrate how a durable identity backbone supports accurate, privacy-safe matching across organizations. You will learn how to standardize fragmented data into interoperable models, improve match rates, and unlock higher-fidelity analytics through governed collaboration using Clean Rooms. We will also cover practical implementation patterns, including enforcing privacy controls and scaling compliant collaboration across multiple partners. The result is a foundation for identity-first analytics that improves your marketing outcomes while maintaining strong privacy standards.