Beyond the modern data stack: The customer context engine for the AI era
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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
Act in the moment: The Real-time phase of data maturity
Data Enablement

Act in the moment: The Real-time phase of data maturity

Danika Rockett

by Danika Rockett

What is data activation? Use cases and tools to know
Data Enablement

What is data activation? Use cases and tools to know

Danika Rockett

by Danika Rockett

Make your data predictive: The Machine Learning phase
Data Infrastructure

Make your data predictive: The Machine Learning phase

Danika Rockett

by Danika Rockett

Shopify analytics without limits: How RudderStack powers advanced tracking and personalization
Data Integration

Shopify analytics without limits: How RudderStack powers advanced tracking and personalization

Danika Rockett

by Danika Rockett

Data life cycle: Stages, importance, and best practices
Data Governance

Data life cycle: Stages, importance, and best practices

Danika Rockett

by Danika Rockett

What is AI data governance? A guide for data teams
Data Governance

What is AI data governance? A guide for data teams

Danika Rockett

by Danika Rockett

Generative AI risks and how to approach LLM risk management
Data Governance

Generative AI risks and how to approach LLM risk management

Danika Rockett

by Danika Rockett

Data warehousing is not a strategy: How to maximize ROI from your warehouse investment
Data Infrastructure

Data warehousing is not a strategy: How to maximize ROI from your warehouse investment

John Wessel

by John Wessel

Data maturity Phase 2: Centralizing your customer data
Data Infrastructure

Data maturity Phase 2: Centralizing your customer data

Danika Rockett

by Danika Rockett

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