This session explores how multi-dimensional data products can be designed to represent customers, their behaviors, and intents—enabling advanced AI-driven signal detection and activation across the enterprise. We’ll highlight the importance of building a flexible customer intelligence data product foundation and how foundational definitions can be reused to support a wide-range of intelligence-driven outcomes. We’ll also share how Teradata is operationalizing these data products to activate customer signals across key application workflows—from marketing personalization and service optimization to credit decisioning and fraud detection—turning raw data into real-time, adaptive intelligence.
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