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"Build vs. Buy: Rethinking the CDP Debate in the Age of AI"

Customer data platforms need five core capabilities, but no vendor excels in all. As AI reshapes operations, enterprises require accurate identity resolution and composable solutions over monolithic systems. A modern strategy blends specialized tools with flexible infrastructure. Read this guide to build a future-ready customer data approach.

Enterprise leaders face the challenge of building a custom customer data platform or buying an off-the-shelf solution. The fragmented CDP market lacks a vendor excelling in identity resolution, segmentation, activation, analytics, and governance.

This guide redefines the decision for the AI era, where customer data is critical infrastructure. It emphasizes identity resolution as the foundation, weighs build-vs-buy trade-offs, and introduces a composable approach combining specialized tools with existing architecture.

· AI’s impact on CDPs and the need for accuracy
· Why identity resolution demands machine learning
· Benefits of composable stacks

Discover a future-ready strategy.

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