Beyond the modern data stack: The customer context engine for the AI era
RUDDERSTACK UPDATES

Beyond the modern data stack: The customer context engine for the AI era

Beyond the modern data stack: The customer context engine for the AI era

AI systems operating in production are reshaping what a good data foundation looks like. Here we explore what’s needed to deliver fresh, trustworthy customer context for analytics, activation, and AI.

Brooks Patterson

Brooks Patterson

DATA GOVERNANCE

CDPs in 2026? Delivering trustworthy customer context for AI

by Soumyadeb Mitra

DATA GOVERNANCE

AI is a stress test: How the modern data stack breaks under pressure

by Brooks Patterson

DATA GOVERNANCE

Data trust is death by a thousand paper cuts

by Soumyadeb Mitra

All
Data redaction vs. data masking: What's the difference?
Data Governance

Data redaction vs. data masking: What's the difference?

Danika Rockett

by Danika Rockett

FiveTran and dbt Labs merger: A new giant in the modern data stack
Data Infrastructure

FiveTran and dbt Labs merger: A new giant in the modern data stack

Soumyadeb Mitra

by Soumyadeb Mitra

Data analysis tools: Best options for data teams
Data Enablement

Data analysis tools: Best options for data teams

Danika Rockett

by Danika Rockett

AI will push data infrastructure toward Infrastructure as Code
Data Infrastructure

AI will push data infrastructure toward Infrastructure as Code

Soumyadeb Mitra

by Soumyadeb Mitra

How to track AI product usage without exposing sensitive data
Data Governance

How to track AI product usage without exposing sensitive data

Sumanth Puram

by Sumanth Puram

CRM integration: How to connect systems and data
Data Integration

CRM integration: How to connect systems and data

Danika Rockett

by Danika Rockett

Understanding Azure Data Factory pricing: A 2025 guide
Identity Resolution

Understanding Azure Data Factory pricing: A 2025 guide

Danika Rockett

by Danika Rockett

SDK vs. API: Key differences and when to use each
Data Infrastructure

SDK vs. API: Key differences and when to use each

Danika Rockett

by Danika Rockett

Data models explained: Types, use cases, and examples
Data Infrastructure

Data models explained: Types, use cases, and examples

Danika Rockett

by Danika Rockett

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