AI CDP: What makes a customer data platform AI-ready

What separates a legacy CDP from one built for AI? This article defines the AI CDP pattern, covers the minimum requirements for reliable AI use cases, and maps common failure modes to their data-layer causes

Warehouse-native CDP: Architecture, governance, and activation

A warehouse-native CDP treats the data warehouse or lakehouse as the authoritative system of record for customer identity, governance, and activation. This article covers the architecture, operating model, and how it compares to traditional CDPs.

Real-time decisioning platform: The data requirements behind decisions that happen in milliseconds

Real-time decisioning platforms make customer decisions in milliseconds. Learn what the data layer must provide, why most decisioning failures originate in the data rather than the model, and what a reliable decisioning data infrastructure looks like

MCP and customer data platforms: How the Model Context Protocol connects AI agents to governed customer context

MCP gives AI agents programmatic access to customer data platforms. This article covers what MCP is, what CDP MCP servers expose, what governance requirements emerge, and how to evaluate implementations.

Composable data stack: Flexibility without tool sprawl in the AI era

A composable data stack is defined by where contracts are enforced and governance applied, not by tool count. Learn what to centralize, what to keep modular, how to evaluate new tools, and why AI raises the bar for architectural consistency.

Open CDP: What “open” should mean for customer data, and how to spot open-washing

An open CDP should keep your warehouse as the system of record, provide portable data and schemas, and offer provable governance. Learn how to separate true openness from open-washing.

Agentic CDP: What customer data infrastructure must provide when AI agents are the consumers

An agentic CDP is designed for AI agents, not analysts. This article defines the pattern, covers what agents require from the data layer, and explains why traditional CDPs fall short when autonomous systems are the consumers.