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How to assemble and serve fresh customer context with RudderStack

How to assemble and serve fresh customer context with RudderStack

Customer-facing AI needs on-demand access to fresh, trustworthy customer context. Learn the real-world architecture to assemble and serve context, plus how RudderStack supports collection, identity resolution, governance, and delivery.

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RudderStack Updates
Brooks Patterson

Brooks Patterson

Head of Product Marketing

by Brooks Patterson

New IaC-driven governance supports trustworthy customer context

New IaC-driven governance supports trustworthy customer context

Learn how RudderStack’s new IaC-driven governance, incremental customer profiles, and event controls help data teams deliver fresh, trustworthy customer context for AI, analytics, and activation.

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RudderStack Updates
Mackenzie Hastings

Mackenzie Hastings

Technical Product Marketing

by Mackenzie Hastings

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.

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RudderStack Updates
Brooks Patterson

Brooks Patterson

Head of Product Marketing

by Brooks Patterson

Mobile measurement partners: What they are and how to choose

Mobile measurement partners: What they are and how to choose

Modern businesses are heavily reliant on multi-channel strategies. Mobile attribution is a great technique that allows marketers to evaluate how, where, and when a user interacts with their brand.

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Data Enablement
Danika Rockett

Danika Rockett

Content Marketing Manager

by Danika Rockett

From product usage to sales pipeline: Building PQLs that actually convert

From product usage to sales pipeline: Building PQLs that actually convert

Build PQLs that convert by wiring product usage into your CRM in two speeds: real-time alerts for high-intent moments and warehouse scoring for accurate prioritization, powered by RudderStack

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Data Infrastructure
Soumyadeb Mitra

Soumyadeb Mitra

Founder and CEO of RudderStack

by Soumyadeb Mitra

CDPs in 2026? Delivering trustworthy customer context for AI

CDPs in 2026? Delivering trustworthy customer context for AI

In 2026, the winning CDP is the one that delivers trustworthy customer context for AI: clean event streams, stable identities, governed profiles, and explainable context an agent can use.

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Data Governance
Soumyadeb Mitra

Soumyadeb Mitra

Founder and CEO of RudderStack

by Soumyadeb Mitra

What is entity resolution? Use cases and best practices

What is entity resolution? Use cases and best practices

Entity resolution is the procedure of linking records that pertain to the same real-world entity, like an individual, company, or household, helping you eliminate duplicate records and consolidate your data.

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Identity Resolution
Pradeep Sharma

Pradeep Sharma

Developer Relations

by Pradeep Sharma

How we track multi-agent AI systems without losing visibility into agent orchestration

How we track multi-agent AI systems without losing visibility into agent orchestration

Learn how to instrument multi-agent AI systems with a standardized event schema for agent sessions, steps, cost, and latency. Extend RudderStack’s AI Product Analytics Spec to optimize orchestration and ROI.

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Data Infrastructure
Anudeep

Anudeep

SDET at RudderStack

by Anudeep

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

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

AI systems act on customer context in real time. Learn how latency, schema drift, identity gaps, and reactive governance turn into customer-facing failures, and what an AI-ready data stack needs instead.

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Data Governance
Brooks Patterson

Brooks Patterson

Head of Product Marketing

by Brooks Patterson

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