The enterprise marketing stack is smarter than ever, but it’s also becoming more fragmented. Predictive models influence targeting, generative systems create content, and agentic workflows are beginning to make autonomous decisions. But as AI moves closer to customer-facing action, the result is often inconsistency at scale.
This whitepaper, produced by the Customer Data Alliance and CDP Institute in partnership with Zeta, makes the case for expanding the role of the modern CDP from a data unification and activation platform into a customer-intelligence control plane for the enterprise.
The paper examines how the CDP category is evolving in response to two simultaneous shifts: the rise of cloud data warehouses as the dominant infrastructure for customer data work, and the acceleration of AI and automation into customer-facing decisions. Together, these shifts are changing what enterprises need the customer data layer to do.
The paper argues that the relevant question is no longer where customer data processing happens, but which layer remains accountable for customer identity, context, policy, and decisioning as they move across the stack. From there, it lays out why the modern CDP is uniquely positioned to serve as that governing layer.
The paper also covers:
This whitepaper is invaluable for any marketing leader looking to put AI into production without letting the customer experience fragment across systems.
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