AI is only as effective as the data behind it—yet many organizations struggle with fragmented, unstructured customer data that limits impact. Real value comes from data that is real-time, consented, unified, and governed at the moment of interaction. Building this foundation with first- and zero-party data enables AI to deliver more personalized, relevant, and compliant experiences across every touchpoint.
What you’ll learn in this webinar:
- Why a strong, real-time data foundation is critical to powering successful AI outcomes, and how to overcome common challenges like disconnected systems and consent gaps.
- The essential elements of agile data systems that make personalization and AI activation possible at scale.
- How to move from raw data to real-time activation, and why context, consistency, and structure are key to AI-readiness.
- The value of processing data closer to its source to improve accuracy and feed trustworthy insights into AI and ML models.
- Why taking an iterative approach to data management—starting small and layering in new attributes—can expand your AI’s impact and agility over time.
AI is only as effective as the data behind it—yet many organizations struggle with fragmented, unstructured customer data that limits impact. Real value comes from data that is real-time, consented, unified, and governed at the moment of interaction. Building this foundation with first- and zero-party data enables AI to deliver more personalized, relevant, and compliant experiences across every touchpoint.
What you’ll learn in this webinar:
