Rudderstack blog
News from RudderStack and insights for data teams
RudderAI brings agentic power to the entire customer data lifecycle
RudderAI brings agentic power to the entire customer data lifecycle
RudderStack launches RudderAI, an agentic layer for the customer data lifecycle. Data teams get natural language control over pipelines and governance. Business teams can explore data, build segments, and activate them with agentic workflows.
CDPs in 2026? Delivering trustworthy customer context for AI
by Soumyadeb Mitra
AI is a stress test: How the modern data stack breaks under pressure
by Brooks Patterson
Beyond the modern data stack: The customer context engine for the AI era
by Brooks Patterson
Generative AI in action: Use cases, examples, and the data foundation they depend on
In this post, we'll explore real-world AI use cases across functional areas and industries, highlighting how generative models are changing the way companies operate and compete.
StatPearls improved ROAS and launched ML-driven campaigns with trusted customer context in Redshift
StatPearls unified product, payments, and messaging data in Amazon Redshift with RudderStack, built complete customer profiles, improved ROAS, and launched ML-driven churn and personalization campaigns powered by trusted customer context.
From siloed PostgreSQL to fresh customer context: How InfluxData modernized its data foundation
InfluxData centralized PostgreSQL, product, and marketing data in Snowflake with RudderStack, creating a single source of truth, reducing manual reconciliation, and giving analytics full control of governed pipelines.
Data and context should move together, not separately
AI agents depend on context, not just raw data. This post explores why context should move with data through the pipeline, not live in separate catalogs, and how pipeline-native semantics create consistent, trustworthy foundations for AI systems.
How Masterworks built a donor intelligence engine with RudderStack
Understanding donor behavior is critical to effective nonprofit fundraising. As digital channels transform how people give, organizations face the challenge of connecting online versus offline giving.
Solving data quality at scale for Exinity, a multi-brand fintech operator
Exinity replaced a rigid CDP with customer data infrastructure built for control. Learn how Transformations enforced data quality and compliance at ingestion, unified data in BigQuery, and restored trustworthy customer context across teams.
RudderStack Transformations: Unlocking advanced data engineering use cases
RudderStack Transformations let data teams clean, enrich, filter, and govern event data in flight using reusable JavaScript and Python. Learn advanced use cases, privacy controls, API-powered enrichment, and as-code workflows.
MANSCAPED improved ad performance and revenue by unifying customer events with RudderStack
MANSCAPED unified customer events in Snowflake with RudderStack and partner fifty-five, shifting tags server-side, improving CAPI match quality, lowering CPA across paid channels, and increasing revenue.
Customer data infrastructure for the AI era
2026 is the year AI moves from pilot to production. Here's our vision for customer data infrastructure that's ready: agentic systems that run themselves, semantic foundations for trustworthy context, feedback loops that drive continuous improvement.
